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Everybody wants to know
who's going to win AI.
Which model,
which company,
which one is
the smartest?
But maybe that's
the wrong question.
Because the
future isn't about
choosing one
intelligence.
It's about having
access to the
best intelligence
in the world.
And choosing the
right one for
whatever you are
trying to do.
The AI you want. For
the job you need done.
now there's just one
problem see these
models may know just
about everything there
is to know about
the world but they
don't know about your
world your customers
your business your
pipeline your inventory
your service history
your contacts your
permissions your
processes but you know
what does salesforce
a true partner that
knows your business
because before you
can act, you have to
understand, right?
I mean, really
understand your context.
When your data is
connected, now you
have a foundation and
a 360-degree view of
the customer. This
is where decisions
become action. Sales,
service, marketing,
commerce, every
function, every
industry, executing
with precision inside
the applications that
you already trust.
Now you create a
system of agency.
Agent Force. This
is where your
intelligence
is multiplied.
Agents that reason
with the full weight
of the business
behind them. Built
with governance.
Deployed with control.
Observed.
Improved. Trusted.
It's even more than
27 years Salesforce
has been helping
you understand
something better
than anyone else your
customers your data
your relationships your
conversations your
transactions your
workflows your
business rules the
truth of how your
company actually works
so what happens
when you take
the world's
frontier ai models
and connect them
to all of that
any surface any
interface now becomes
your co-worker say
hello to ai force the
world's leading A
.I. models connected
to the world's number
one A.I. CRM and
once you see it
there's no going back.
You see for decades
we've had to
go to software,
open the app, find
the screen,
navigate the menu,
let's go looking
for what we need.
A.I. Force flips
that around. It's not
the end of software,
it's the end of
software that makes
humans do all the work.
See the interface
itself now becomes
dynamic, intelligent,
open, composable,
and it's right where
you already work. You
don't have to go
find the enterprise.
The enterprise
comes to you.
Ask about your pipeline,
and suddenly you
don't get 12 links in
the dashboard to go
figure it out. You
get the answer. Build
the account plan, fix
the service issue,
launch the campaign,
change the offer, move
the inventory, create
the workflow, close
the deal, and blaze
a whole new trail.
So maybe the future
of AI isn't about
which model wins. It's
about how you win.
The AI you want.
The trust you need.
Welcome to the
Agentic Enterprise.
CEO
and chair,
Mr. Mark Benioff.
Good morning, everybody.
Good morning, everybody.
Is this microphone on?
Good morning, everybody.
Aloha.
We are so thrilled to
have everybody here.
What a great, great
group this is. Wow.
Can you look around
this room? It's amazing
what's happening here.
Totally incredible.
We are going to
have an amazing day.
We're going to have
an amazing conference.
We have been on the
road exhaustively for
the last two months.
I've been in Europe.
Myself for the last
two months, you're
going to hear
some stories about
that. Then we got back
here to the United
States. We did some
incredible focus
groups with all of
you getting ready
for this amazing
Dreamforce keynote.
And let me just
tell you this, we
have never been
more excited about a
Dreamforce in our
history. This is
going to be
absolutely incredible.
You're going to see some
truly amazing technology.
You're going to meet
some incredible people.
And we hope to open a
door for all of you.
Now, for the last
two months, I've
been in Europe.
It's been amazing.
I've met with
hundreds of you.
You've inspired me.
You've energized me.
You've really shown me
what the future was.
And it's been an
incredible experience.
but I'll tell you
something amazing that
occurred to me while
I was in Europe.
I had this awesome
meeting with one of our
top customers in
Lausanne, Switzerland and
it was like an exhaust
long meeting. It was
like three hours and
we were getting down
to the end of the
meeting and I was like I
really want to show
you what we're going to
do at Dreamforce. It's
going to be amazing
and so finally
I had our CEO of
Switzerland with us.
He's here today. I said
all right let's show
them this amazing
new technology,
and we showed them
the beginning of
something we're going
to show you today
called AI Force.
And they started
using this platform.
We've been using this
kind of build and
run our company now
for several months.
It's been
transformational for us.
In this case, we were
using the version
built on Claude.
We call it Co-Work.
And this Claude Force
product, we're about
to show it to you
for the first time,
the customer at
the end of it said,
this is really
something like I see
several things. One,
we had built a full
new interface
across their entire
enterprise. It did a
complete AI transformation
in real time with
the customer.
That was awesome. But
number two was this.
The customer said,
wow, what I see
happening right now
is that you are really
unleashing for me trapped
value in my system
that I knew was
there, locked in the
metadata, locked in
my systems, and for
the first time, for
the first time, for
the first time, they
saw that trap value
coming into real value
for their company.
That's when we realized
we could say, hey, AI,
meet this number one
CRM Salesforce and
unlock this trap
value from anywhere.
Now, I want to
just tell you, we
are here to do many
things with you.
Now, one of the things
you're going to see
is that when we get
into this incredible
platform for our
trailblazers, do we have
any trailblazers in
the audience today?
We've got a couple
of them here.
For our trailblazers,
this is the most
empowering piece of
technology we've seen.
It really becomes a
partner for you. It
becomes a partner in
helping you to execute
the next generation
of your enterprise.
And these demonstrations
that you're
going to see are
unlike anything we have
ever demonstrated at
Dreamforce before.
Now, as you know, we
are here to excite you.
We are here to
motivate you. We
are here to
inspire you. But
mostly we are
here to do what?
Thank you. Thanks to
each and every one of
you for what you do for
us every single day.
We are so grateful to you
for what you do for us.
We know that you have
a choice in vendors,
and we know that
you have a choice
in where you have to
put your time. And
to come here to
this show and spend
time with us, it's
very meaningful to us.
So thanks for being
a great customer.
Thank you for
coming to San
Francisco, and
thank you for coming
to this incredible
Dreamforce.
Now, 20 years of
these trailblazers.
It's been 20
years of these
Trailblazers, 23
million Trailblazers
all over the world,
90 countries,
700 community groups.
I saw Steve Moe got
an amazing blue
blazer. Where are you?
Got your golden blazer.
Stand up, Steve.
Here's Steve. Great job.
Yeah.
How long have you been
a Trailblazer now?
I celebrated my
Salesforce birthday, the
day that my first
user ID was created.
in August of 2003.
Steve, we could not
be more proud of
you and how you have
lit up the whole
community and you just
guide us everywhere
all over the world.
Thank you for being
such a great partner
with Salesforce.
Great job, Steve.
Incredible.
And Steve
represents each of
those 23 million
trailblazers
all over the
world, you know.
It's going to be an
amazing show with
all these trailblazers.
And as I said,
I think the technology
that you're going
to see is going
to really take all
you guys to another
level. But listen,
listen, this is the
biggest and most important
dream force ever.
And we've got all
the greatest players
here. We've got all the
most incredible people
from all over the
world. You know that
Dario is going to be
in the keynote in a
little bit. We've got
Jensen is going to be
here. We've got Sam
speaking here later.
Tony Rob. We have all
of our friends here.
Isn't that amazing?
And one more thing.
We have 1,600
sessions for you.
One really critical
point about
these sessions.
We expect you to
go to each and
every one of them.
We put a lot of work
into them. 1,600.
Let's do that. Okay.
Tomorrow night,
How was Gwen
Stefani? Was
that awesome?
Yeah.
Well, we also have
Usher coming as
well. That's going
to be awesome.
And here's one more
thing. We're going to
be giving another
incredible $10 million
to the UCSF Children's
Hospitals tomorrow
night. You've now
raised a total of $130
million through that
concert every year for
this hospital. Amazing
what you are doing.
You already know, we so
strongly believe that
business is the
greatest platform for
change. You can see
what we've done, about a
billion dollars of grants
since we started the
company, 11 million
hours of volunteerism,
65,000 nonprofits
and NGOs running
our service for free, and
this is where I
get to say this.
If you are with a
nonprofit or NGO and
you are here at the
conference, will
stand up and be
recognized, please?
Amazing. And this is
the opportunity for our
commercial customers
to realize that
nonprofits and NGOs do
not have as many resources
as our commercial
customers. Please support
them and help them.
And not only are we
giving back at this
scale, but one more thing.
We are also deeply
committed to San Francisco.
Now with $156
million given for our
public schools, $130
million to our hospitals.
We have done 1.7 million
hours of volunteerism
here in San Francisco
and Oakland, and
we support 4,000 local
NGOs. We've even given
$13 million to our
local police force to
keep all of you safe.
But we believe so
strongly through this
kind of $300 million in
all time giving that
we have to give back to
the communities that
have given so much to
us. One more thing, we're
also deeply committed
to America as well.
We now run 15 of
the 15 cabinet agencies,
50 out of 50 states
also now run on Salesforce,
all built on our
core values, our core
values of trust, the
trust we have with all
those trailblazers.
Their success is our
highest priority.
The innovation you'll
see here at the show
that we've been
delivering day in and
day out for 27 years,
the equality of every
trailblazer, we so
strongly believe in
that, and the
sustainability of our world,
creating a net
zero company.
And that is why we have
been influenced now
as one of the most
ethical companies in the
world by Ethisphere
17 times, probably one
of the most meaningful
recognitions that
we have received. Thank
you so much. And it
has delivered the
largest and most trusted
enterprise software
company in the world. An
incredible slide as
we slide into these,
you know, very high
ranks of these amazing
companies. I guess you
could say some people
said, well, the sales
were slowing. I said,
well, actually, I don't
know if you noticed,
We spent three years in
the $30 billion
in revenue.
We spent just
two years now
in the $40 billion
in revenue.
And next year, we're
entering into the
$50 billion in revenue.
Looks pretty good
to me, actually,
the chart. Not bad.
Not a horrible chart.
Thank you.
And 27 years of amazing
innovation inspired
by all of you, especially
our trailblazers.
Incredible what you
have been doing for us.
And that innovation,
it's organic, it's
inorganic. And let
me also say this.
It's also these incredible
companies in San
Francisco that we've
kind of become part
of our Ohana. And we
want to welcome starting
today, Finn, now
part of Agent Force,
the highest
performing customer
agent in the world,
amazing company.
Anybody here from
Finn, stand up if
you are Finn. Would
you be recognized?
Oh, we have our fin
team right over here.
Congratulations and
welcome to Dreamforce.
Great to see you,
Owen. Fantastic.
Okay, look, it's
been 10 years of
pioneering AI here
in the enterprise.
You have all been
going through this
with us. It's been
an amazing journey.
There's no
question about it.
And then we've been
hearing all this
kind of crazy
nonsense about the
sasspocalypse,
especially over the
last six months.
Hasn't it been wild?
But I think that we
realize that SaaS
-pocalypse was not about
the end of software,
but it may be
about the end of
software that makes
humans do all the work.
And I think you're
going to see
that, especially
at the show.
Yeah, it's been
incredible to watch the
success of Salesforce
this year. The
growth, the capability
of our customers.
In our second quarter,
we just delivered
$46.4 billion in
revenue guidance,
delivered another
billion dollars in free
cash flow, 14% CRPO
growth. It was awesome.
Our lowest customer
attrition ever,
our longest customer
contracts ever.
And it's all
driven by the deep
commitment that we
have at Salesforce
to do this, to help
you connect with
your customers in
a whole new way.
How do we do that?
And now, as you start
to begin to see the
technology that we're
about to reveal,
there's this fundamental
question. And the
question is this.
How are we
unlocking this trap
value across
every single app?
Now, at Salesforce,
we are starting to
do this. It's been
amazing. We already
have 7,000 users
on Cloudforce. So
while you're at the
show, So take our
Salesforce employees
aside and say,
show me how you're
running Salesforce.
You'll see the Slack
bots that we have
running and the co
-workers that we have
running in Lightning.
And that we generated
$500 million last
quarter in pipeline.
Incredible with our new
Hunter and Piper agents.
We resolved 5 million
service conversations
with Casey on help
.salesforce.com.
We're being
the change that
we want to see with you.
We believe that
every company can
become an agentic
enterprise, and
we're going to
show you the best
way to do it by
doing it ourselves.
It's been awesome for
us. And as I've gone
around the world, I
see it in all of you.
I see it in
your eyes, your
inspirations, your ideas.
I see these companies
changing and transforming
in ways I could
have never imagined.
You know, AI has
opened a door that's
never been opened
before. How many of
you in San Francisco,
while you've been
here, have already
jumped into a Waymo?
Anybody here jump
into a Waymo?
Not too many.
Well, you might
want to try it.
It's kind of an
amazing experience.
It's an autonomous
vehicle driven by AI.
And one of the
things about it is
it's kind of a
metaphor in many ways.
I told you about my
trip to Europe. Well,
when I was in Europe
for two months, I
didn't see a single
autonomous vehicle.
That was kind of
a metaphor to me.
Well, we might
be living in it
here, or if you go
to Shanghai, maybe
it's AI on
steroids right now.
But when I went to
Europe, I didn't
see that same kind
of transformation.
That same AI
global, I would
say, unbalanced
capability.
you know, where
some countries
have more AI than others,
you know, this is a
very real thing. But
it's also true in our
customers, too. When
I go to visit all of
you, and I just spent
my time with hundreds
of you, probably
what I love doing more
than anything else,
what I saw was a lot of
unevenness when
it comes to AI.
So that idea is that
when we start to look
at what AI can do,
yes, the door is
opening, but not everyone
has gone through it
yet. In many cases,
some of our customers
are kind of stuck.
They're kind of stuck
in the old world. Maybe
they're even using
ChatGPT or Claude
Cowork during the day
at home, but when
they get to their
businesses and they get
to their enterprises,
they still don't
see that enterprise
transformation. Do you
know what I'm saying?
And I think we have
to do more to help
you accelerate that
transformation.
But one of the key parts
about that is this.
Models alone cannot
run the enterprise.
Models alone are
not going to show us
what's possible.
Models also are very
probabilistic. Do you
know what that means?
They're probabilistic,
like they
kind of know what's
going on, but they're
not grounded in a
single set of truth
like your traditional
Salesforce apps.
Oh, I have a friend
back home, and they
built this amazing
app on Claude Cowork.
And every time he
shows me the app, he
goes, well, this is
this amazing app, but
this number, I know
it's wrong every time.
I know it's not exactly
the right number.
I said, that's because
Because it's not
grounded in your
single source of truth.
It's not grounded in
your core data set.
And then how
can you do that?
The idea really is,
how can you bring
that probabilistic
world, the AI world, the
deterministic world?
The deterministic
world is where all
that corporate data
is, where the single
source of truth is.
That is the
question that has
been on our mind.
And that is the
bridge that we
want to cross.
Because when we look at
enterprise intelligence,
yes, we love these
probabilistic AI systems.
But how do we deliver
the governance and
the security and the
workflows and the apps
and the rules and the
context, all of them?
How do you bring
all the power
of the corporate
system into
the AI? And then
one more thing.
How do you then layer
in these four critical
layers? One, how
do you deliver the
data? Because we all
know you've got to
get your data right
to get your AI right.
Two,
how do you take the
power of the apps, which
have all the intelligence
of the business
and all of the capability
and the metadata
and the semantics,
that's deep in the
analytics layers, the
semantic layer, how do
we unleash a digital
workforce with agents
like we've been
talking about here for
the last several years?
and how can we build
a radically different
interface on all of
those things? These
four layers, data,
apps and semantics,
agents and interface, that
is what we want to
transform right now.
And to make that happen,
to really bring
enterprise intelligence to
run on our core system,
we have to unify the
probabilistic
intelligence with that
deterministic intelligence.
And the interface and
agents remain
probabilistic, and that is
great as long as they
are grounded inside
the deterministic data,
the source of truth
of data, the data
layer, and the apps and
semantics as well,
where you have spent so
much time educating
those applications on who
your businesses are
and how they run. run.
So at this show,
what we will do and
what we're going
to do over the
next 30 minutes is
show you those four
layers in an
incredible new way.
Data 360, a
layer that helps
you to integrate,
to federate
and harmonize
all of your data.
And that means connect
everything in your
enterprise together,
to smooth it out,
okay, and then to
let it drive the AI,
and two, to unleash
through a new headless
version of our
applications, the
fundamental application
and semantic intelligence
to drive that
intelligence, and then
let the agents and
let the interface do
what it's going to
do. When we get to
the interface layer,
I promise you this.
When we get to the
interface layer, I
promise you this. You
will see an interface
unlike anything you
have ever seen before.
It will transform
your enterprise.
And that is what
is exciting. Now,
people have been
saying, as I've said
that to them, how
is that possible?
How is it possible
that so much could
change so quickly at
the interface layer?
Well, for those
of you who
know how Salesforce
operates,
we operate through
a metadata platform.
You know, when you're
working in Lightning
and you're running
Lightning applications
and where you're
building on Salesforce,
you're writing
in metadata.
You're writing in
the objects and the
interfaces and the
rules. You're writing
in the fields and
the relationships.
You're writing in the
permissions and the
business logic and
security in analytics,
you're writing into
the metadata, and
then it gets decomposed
into the database.
It gets pushed down
into our database.
It's not fixed. I loved
it when we announced
headless, and
everybody thought we
somehow had cut the
head off of our apps.
There was never any
head on the apps.
It was always in
the metadata layer.
It's just hard to
explain that to
folks who are not
Salesforce folks.
So it's down in
the metadata layer,
and then it's been
recomposed into
Safari or Chrome.
It's been recomposed
into the browsers
or into iOS.
And now it's going to get
recomposed into
these AI interfaces.
It gets recomposed
into Cowork.
It gets recomposed
into Slack.
It gets recomposed
into lightning.
So that is what becomes
really dramatic.
It's an interface
revolution.
We've seen a lot of
interface revolutions.
We went from DOS to
GUIs, and we went from
GUIs to web, and we
went from web to mobile.
And today you're
going to see, and I
bet a lot of you
have not yet seen
this, you're going
to see AI interfaces
that are dynamic
and intelligent,
that are composable
and alive, and that
can work with you
in the fundamental
administration of
the applications,
can work with you
in building the
applications,
and work with you
in operating the
applications,
because the interface
itself is alive.
Some people say the
interface is living.
It's really interesting.
I'm going to let
you determine what
you think about
that interface.
Now, to make all this
happen, the first
thing we had to do
was write a layer
that would
empower all that.
We knew we wanted
the dynamism.
We knew we wanted the
intelligence. We knew
that we wanted to go
down into that metadata
and pull it up. We
knew that it had to
be secure and governed.
And one more thing.
We knew that it had to
have zero data retention.
Now, three years
ago we were here,
we talked about
zero data retention.
That means this.
When you're working
in Salesforce apps
and when you're working
on our platforms,
your data is
your data. It
does not go
in the models.
We've audited it.
We've tested it. we've
tried it. Regardless
of what you've heard
on media or from
other vendors, let me
assure you that
Salesforce products are
built with zero data
retention, tested
over and over again
by our security teams.
Your data is your data.
You're not training
any other model
when you're using
our products.
This is extremely
important,
having ZDR built in.
And then when you
put it all together,
when you put all those
things together, you
get AI force. You get
those capabilities
and you get this
live interface that
entraps the value. And
then we're going to
deliver for you AI
force in many forms.
If you're a co-work user,
you're going to
get Cloudforce.
If you are a slack user
you're going to get
slack force if you're
a lightning user
you're going to get
the new co-worker and
there will be many others
too and we will also
deliver an sdk so you
can build your own
ai force applications
as well this is really
the most exciting
thing I have ever seen
for salesforce because
we have been talking
about the data layer
for a long time
we've been talking about
the applications and
semantic layer for a
long time and we have
been talking about
now the agentic layer
for three years and
now for the first time
we're talking about
this a live interface
on salesforce unlocking
this trap value
finding the patterns
across all your data
getting answers in
seconds not days and now
anyone can get that
value from salesforce
That is the power
of AI force.
And while you
might not have
seen this from
other vendors yet,
I assure you, you
are about to see
something that
I'm sure that
will get repeated
over and over again
throughout our
whole industry.
Just like the
trailblazers have sat
in this conference
now for almost three
decades, I'm
confident you will see
this pattern repeat
everywhere else.
We saw Steve
Moe. We saw how
incredible our
trailblazers are.
They are going to be even
more incredible
with AI Force.
They are going to be
even more powerful
to administer,
develop, and operate
these systems across
all of these layers.
It is really awesome.
And you're going to see
the demo and
pay attention.
It's going to be
really incredible.
Now, we've
talked about the
vision of lighting
up the data,
making sure your data
is ready for you.
And two,
making sure all of
our apps, which were
always built this
way, always built with
metadata first so
that this moment would
be a moment they
could take advantage
of, are also ready
for you. And three,
the agentic layer
as well, so that
it can really
deliver that value.
Now, I know many
of you are already
starting to use these
incredible agents.
How many of you have
been on Salesforce
.com or Informatica
.com or already
using Piper, by
the way, this
qualification agent?
Quite a few hands.
It is amazing.
You know, you're
talking to Piper.
We're going to demo
it in a second.
And, you know, it's
helping to qualify
your prospects and
your customers.
Hunter went out
and generated $500
million of pipeline
for me last quarter.
It was kind of amazing
what Hunter did.
Casey answered 5
million customer
service issues for
me so far since
I launched about
18 months ago.
And Page is
doing our ITSM
work and HR capabilities.
And Marshall is doing
this incredible work
as well in the supply
chain. And now we
have Fin, which is the
number one customer
service agent. We're
even using that on
help.salesforce.com
already. It's incredible
what Fin is. And we
got that running,
I think, in about 12
days at Salesforce.
It's an incredible
capability
that you can go
super fast with.
That idea that you
have those three
layers, data, apps
and semantics, and
agents, and then add
the interface on top.
Adding the interface
on top means
that everything is
going to change.
So one of the things
I noticed when
I was with all the
customers for the
last two months,
and it was pretty
incredible being
there with everybody,
but the applications
kind of looked mostly
the same that they've
looked like for the
last few years. And I
would say to the COs
and CIOs and CDOs of
these companies, do you
feel like you've gone
through an enterprise
transformation? Well,
we've got this pilot
going, or we tried
this, or we did that.
I think when you
put this interface
on, everyone
will see that
their systems
have now changed.
Incredible.
Okay, so let's take
a look at Cloudforce.
This is Salesforce
and Cloud. It's the
number one AI meets
the number one
CIRM. It is that
live interface built
around you. If you
are a co-work user,
you are going to
love this platform.
We use it at Salesforce.
We use it
aggressively. We turned
it over to our operating
unit leaders
several months ago.
They have been running
their businesses.
When we were doing
the focus group
for this room, I
was sitting next to
Miguel Milano, our
new chief operating
officer. Miguel,
are you in the room?
Where? Stand up. Here's
Miguel Milano,
our new COO.
Congratulations,
Miguel. I was
sitting next to
Miguel, and he was
using Cloudforce
to run Salesforce.
It was incredible.
And he was
also using Slack
at the same
time. It was
hard to believe.
Now, for those
of you who use
Slack, how many
Slack users do
we have here?
Raise your hands.
Oh, quite a few.
Oh, I'm surprised.
Well, Slack is where AI
works. It's
pretty awesome.
I mean, we bought
this company six years
ago. We have invested
a ton in this company,
transformed it. it's
done amazing it's
become our very fastest
growing product so
many AI companies here
in the valley like
within a mile or
two of this building
all run on slack it's
awesome but one of the
things though about
slack now that you
have is slack force
so that same user
interface that is running
from AI force in cloud
force is also now
running in slack and
you're going to see
that at the show. And
for those of you who
are coders or who are
using coding agents
in your businesses,
did you know now you
can code inside Slack?
You know, coding
has traditionally
been a single
player sport.
It's a single player
sport, but now it
becomes a multiplayer
sport and you can
write, review, and
ship code together
with agents. And
all of Salesforce is
available inside
Slack with Slack CRM.
So you can use Slack
to run Salesforce.
And many of our customers
are already using
Slackbot, millions
every single week, where
they're reading across
their DMs, they're
reading across their
channels, they're reading
across the whole
data set, and letting
Slackbot provide the
AI for the enterprise.
That is why Slack has
become Salesforce's
fastest growing
product. Okay, and
there's one more
piece of this. For
those of you who
are in Lightning,
anybody here use
Lightning by any chance?
Okay, we have a few
Lightning users
out there.
Now Agent Force Coworker
is running inside
Lightning as well. So
now you can have that
same live interface in
Lightning. So if you
use Cowork, you've got
it. If you have Slack,
you've got it. If
you've got Lightning,
you've got it. And I
bet by the time we get
back here a year from
now, we'll have dozens
of of live interfaces
running on Salesforce.
We've transformed our
architecture.
Look at this.
You can see that
core data layer with
Informatica and
MuleSoft. You can see
it with Tableau and
how it's working
to deliver that core
system. And then
you can see the
application layer.
And all the different
applications
are now headless
and providing
that API and
that capability.
And the agentic
layer as well.
all the agents
that you need to
run your business
or build your
own agents with
agent force also.
All of these incredible
pieces helping to
create and empower
those trailblazers that
are so important to us.
We want to make sure
the trailblazers are
successful. They've
built 12.8 million
custom enterprise apps.
They've done countless
Apex calls and API
calls. They've built
these incredible
systems. It's been awesome
what the Trailblazers
have done, and this
is going to elevate
them to an incredible
new place. And
we're delivering new
versions of Salesforce,
including our new AI
Force Max Edition,
which bundles all
of this together so
you can have one core
product that you can
acquire that delivers
all of this functionality
to you. one product,
AI Force Max,
with all of our
functionality built
together so there is
no concern you do not
have everything you
need to be totally
successful right now.
So please welcome,
to give this incredible
demonstration,
our new president of
applications
and marketing,
Patrick Stokes.
All right.
All right. Thank
you, Mark. Good
morning, Dreamforce.
It's awesome to be
back with all of
you. I love doing
this every year. I
hope I get to keep
doing it. We'll see
here in a moment.
So listen,
six months ago,
we held an event.
It was actually
right across
the street to
launch Slackbot.
And at that event,
our co-founder,
Parker Harris, you
all know Parker.
He's sitting
right over here.
There he is.
He looked right
into the camera, and
he said something
a little weird.
You want to know
what he said?
I've got the clip. Let's
actually just
watch the clip.
We are basically
saying, why should I
ever log into
Salesforce? I built the
Lightning UI. I
worked really hard
on it. Why should
you ever log into
Salesforce again?
Maybe you never will.
Woo!
Crazy thing to
hear, right? Crazy.
You know, if you're
any other software
company, that would
be a terrifying thing
to say because other
software companies,
they think their
product is the UI, but
that's not what we
think at Salesforce. At
Salesforce, our product
is the trust that
all of you, our
customers, put in us to
hold your data, to
hold your workflows,
your business processes,
your permissions,
your security rules.
That is the Salesforce
product. And we
asked ourselves, what
would it look like
if we could plug that
product in to a new
interface, to an entirely
new interface, an
agentic interface.
And that's exactly
what we set out to
do with our friends
from Anthropic. Now
here I am inside
of Claude Co-Work,
and I'm about to show
you my interface.
Everything you are about
to see is something
that I asked Claude
to do for me. And
before I show it to
you, I'm going to give
you one last warning,
which is, despite what
Parker just said,
you are going to see
just a tiny little bit
of lightning in here.
Just bear with me, okay?
Here we go.
Hello, Patrick. Here are
your deal signals
for today.
Okay, buddy, this
just in. The quarter
sits $8.2 million short
of your $285 million
target with three
weeks left to run.
Northstar needs
your attention.
$4.8 million,
10 days past close, and
a block security review.
Those are your
signals, pal.
Your command center
has the answers.
Trailblazers, welcome
to Dreamforce.
Digital Parker, out!
All
right, thank you,
Parker. Appreciate the
insight. So look, this
is my Salesforce. Like
I said, everything
that you see here is
something that I
specifically asked for, and
Claude helped me bring
it together. I can
see if I expand this,
I can see my pipeline
coming in from around
the world, everywhere
I've got a new opportunity
opening up. I can
see all of my service
data coming in, where
my cases are landing
around the world, so
I can see where my
hotspots are. I can even
see all of my
marketing data, people
interacting with all of
my different websites,
interacting with
Piper on my website,
signing up for new
campaigns, interacting
with campaigns, all in
this live interface.
But this is more than
just an interface
to look at data.
Remember, we're
combining this with AI.
In this case, Parker,
who's got a lot of
insights, right? And
Parker reminded me
right when we started
there that I have a
problem with North
Star communities.
And And he said, you
should probably take
a peek at that. Now,
I know Northstar happens
to be based in San
Francisco, so I can
click into San Francisco
here to drill into
the pipeline that I
have. I've got two
accounts that have
opportunities. I'm going
to click into my Northstar
account here, and
there it is. There is
that security review
that is blocked. And it's
actually kind of bad.
We've got $4.8 million
in open pipeline
that is not going to
close unless we get this
thing moving. Now, I
wanted a way to let
my team know that this
is unacceptable. And
I did that in the most
Patrick way that I
could think of, which is
I asked Claude to code
in a sad trombone.
And that actually sends
a real activity over
to Salesforce. So that
logs in this account
record so my team
knows that I'm ******
off. If I wasn't
****** off, I could do
something that I've
always wanted to do, which
is blow an air horn
on the Salesforce
stage. I can do this as
many times as I want.
Nobody can stop me.
Okay.
But to get real for
a second, what do I
actually want to do?
What I want to do is I
want to send a Slack
message over to my team.
I need to get them
rocking and rolling on
this opportunity. So
we're going to click
into this Slack interface.
And I said, hey,
give me a way to have
Claude generate, but
let me be able to
rewrite Write the message
if I want to, so I can
do that right here.
We can say, hey,
Dreamforce, it
helps if you spell
it right, although
it actually doesn't
really matter.
***, it's hard
typing on stage.
There we go. And then
all I have to do is
post this over to
Slack, and if I get over
there fast enough,
there it was. You saw it
just pop up. 10.46, there
is our message right
over to Slack, getting
our team rocking and
rolling. Okay. Now,
I bet you're probably
wondering how this all
actually works. And
let me tell you. So, it
all starts right over
here. If we go into,
excuse me, plugins,
you'll see we've got
this brand new plugin,
Salesforce, for Claude.
Now, this plugin solves
all of the hard
problems. Who's heard of
MCP servers here? Who
knows what MCP servers
are and how to use
them? A lot of hands are
going to go down. Right,
they're hard. This
is a new technology.
Who knows how to enable
zero data retention,
right? Not many people.
Who's written skills
for Claude? Probably
a few more of you, right?
This is hard stuff.
And we sat down
with our friends at
Anthropic and said, what
if we could put all of
that together into one
package, one plug-in
that if you have Cloud
Enterprise, you can
just go in, turn it
on, and pick the users
that you want to give
access to. So that is
exactly what we did.
But what about that UI?
How did I create that
UI? Some PM didn't
create that for me
somewhere. That is a UI that
I personally created
for myself by just
asking and I'll show you
that conversation right
here here is the
complete conversation you
can see where I
started you get up and
running on these interfaces
I'm not kidding in
like six to eight
minutes and then you have
a few days worth of
back and forth as you
iterate and you add all
of the silly features
like I did with sad
trombones and that awesome
3d Parker that you
saw that you saw all
of that look at that
literally create an
avatar of Parker Harris
and his lightning suit
now to give it some
things. But that is how
we do it. Now, the
last question I want to
answer for you is how
on earth do you get
this thing, right? Well,
we can show you. Now,
Mark mentioned the
pricing and packaging
earlier, but this is
Dreamforce, baby. We don't
want you to worry
about pricing and
packaging. What we want
you to do is go get your
hands on this thing.
So for the time being,
everything that you just
saw is in open beta.
Any one of you can
go. You jump over to
the App Exchange. I'll
show it to you right
here, right again inside
of Claude. Look for
this plugin within
the App Exchange. Fill
out the form. Give us
your org ID, and we will
turn you on today. If
you are not here with
us at Dreamforce, of
course, we've got a
trailhead. I blew right
through the applause,
but that's okay. You'll
do it afterwards.
And if you are here
with us at Dreamforce,
I beg you, get over
to Moscone West. It's
across the street. We
have AI Learning Labs.
You will get in there.
There is an ocean of
laptops with ClaudeForce
set up. You can
learn how to build your
own command center and
walk out of here with
your org turned on.
So that is AI Force.
All right. Thank you.
So now we have something
incredibly special.
And to do that, I'm
going to reintroduce
Mr. Mark Benioff. Mark.
All right.
Great job, Pat.
How about a hand
for Patrick?
Who's excited about
that interface?
That is just the
beginning of the
interface that
you're going to see.
I think AI Force remains
the most exciting
thing we have ever
done at Salesforce,
and to see this first
version of it running
on Co-Work and Claude,
which is amazing.
I don't know if you
saw the cover of Time
Magazine today, but
Co-Work is also on
the cover of Time
Magazine. And here we have
the CEO of Anthropic
right here, Dario.
Hello, Dario.
How are you? Hey.
Great to have
you. Fantastic.
Great job, Dario.
You're doing an amazing
job leading the AI
industry, guiding
it all right from our
Slack headquarters
building. We watch
you every day.
It's all good karma,
isn't it? And we're
watching you doing an
incredible job. You
become the number one
AI in the world, three
times larger than the
nearest provider. It's
been amazing to be
partnered with you. It's
all been very karmic
and kismet and good.
And one of the things I
have to ask you before
we get into the
interview, I want to talk
to you about AI Force.
I want to talk to you
about Claude Force.
I want to talk to you
about how you're running
your own business.
But wow, you wrote,
you know, you, I mean,
everything from your
first essay that you
wrote, you know, about
loving grace to the essay
this weekend on pacing
has been incredible.
But give us your state
of the AI industry
and pacing and where
your mind is right now.
Yeah, I think it's
maybe easiest to explain
it by an analogy so
let's say you're running
a car company and
another car company not
yours they have some
kind of safety incident
right something goes
wrong with the brakes
uh you know something
with the manufacturing
now you believe you
have the best safety
record in the industry
what do you do how do
you approach it obviously
it's very tempting
to attack your competitor
and say these guys
are unsafe we're safe
but I think the more
responsible way to
respond to it is to say,
hey, first of all,
let's look at our own
record. We may not have
had this big high-profile
incident, but I'm sure
we're not perfect.
Let's look at everything,
and we can always
be better. Let's make
our practices better.
Let's recommit to
transparency. Let's
invest more in safety.
Then let's organize
the rest of the industry
and say, what can
we do to set standards
for everyone? What
can we do to make
everyone's standards
better? And then finally,
there should be an
international component
to it. And that's
essentially the three
-step plan that I
laid out in the essay,
the first of which
we committed to, and
the others of which
we're going to have
a dialogue with the
rest of the industry
about. And I think that's
the way to lead the
industry forward,
to set an example,
to say that
everyone can
always be better.
Let me ask you a
question, Dario. You
know, it's been
amazing what you have
been able to
accomplish, like I
said, but there are
a lot of surprises
also that you have
gone through. So,
you know, just tell
us what has been your
biggest surprise
over the last decade?
And, you know,
you've obviously
been heads down
in AI now for
10 years, really
in earnest.
What's your biggest
shock about where we
are right now? You
know, it's been the
pace of the progress,
not just of the
technology, but of the
economic side of it.
So I formulated the
scaling laws along with
some of my co-founders,
which tell you
that AI models get
smarter and smarter the
more compute you throw
into them. And so we
had a prediction of
just how capable these
models would be. But
I think what we didn't
appreciate is that it
would lead to these
companies growing so
fast, to all these
incredible products that
we're working together
on and you've been
talking about today,
and how quickly they
would become central
to everything that's
going on in the world,
right? I just watched
the talks before that
where, you know, you
guys talked about MCP
and co-work and cloud
skills, and these
are all new things
that people are just
beginning to use, but
they're being adopted so
quickly because the
economic value is so
great. So I've just
been surprised that such
a pace is possible in
the business world.
Well, I'll tell you,
at Salesforce, we are
huge co-work fans.
And also when I was in
Europe, I met with so
many customers who are
co-work fans. It's
incredible what you've
done with the product.
I'm noticing over your
shoulder here you've
got a few Salesforce
alumni behind you who
are helping you to
run your company, which
they're doing. You
train them well, Mark.
You train them well.
Trying to do
my best to help
the whole
industry, you know.
I measure myself
by how many CEOs,
COOs, and CROs are
in other companies
that all came
from Salesforce.
You do a fantastic job of
that. No, truly,
truly you do.
Thank you.
But what I want
to say is this. I
want to say, you
know, yes, we have
to keep our eye
on the pace of AI.
You know, it's
been amazing what's
happened over
10 years. No
one could have
written the story.
Now these interfaces
are truly amazing.
The demo we just saw
is remarkable. I think
every customer here
wants to have that
same interface on
all of their systems.
Everybody wants to
unlock the trap value.
You know, what
is your kind of
recommendation for
everyone in this room and
the virtual room?
Obviously, you can
see we have 10,000
people all over this
room, but 10 million
joining us online.
You know, what actions
do you want us to take?
Yeah, so, you know,
I would just say when
I look at the technology
versus how much
it has diffused,
even if we freeze the
technology in place,
which we're not doing,
Pacing the Frontier is
not doing that at all.
The technology will
keep getting better,
but just suppose we
freezed it in place.
Even if that were the
case, we're making use
of maybe only 5% or 10
% of what the possible
value of the technology
is. So I'll give
you just an example that
relates to what we're
doing together and
to the CCO you just
pointed at, which is that
Paul, you know, every
day now he wakes up,
and if he wants to look
at, you know, our head
go-to-market prospects,
he still uses
Salesforce, but he uses
Salesforce with Claude.
He talks to Claude
using Salesforce's data
about, you know, what
are the 10 biggest
deals we're doing this
week? What are the 10
deals we're most likely
to lose? What are the
themes in those deals?
How do we win those
deals? You know, just
making use of all the
information fluently
with Claude. And it's
really incredible. And
the fraction of people
who have seen this and
seen that this is
possible is still small
compared to those who
could gain utility from
it. And so there is
still so much diffusion
left to do. Well, we
are really excited to
wake everybody up at
the show to show people
what the possibilities
are for the future,
how we're going to show
them that data layer,
which, as you know,
I think is really
critical, that having
that grounding of the
data, we've talked about
that so many times,
the application and
semantic layer, giving
it the AI even more
intelligence capability,
the agentic layer
that you really have
helped pioneer, and
now this incredible
interface layer. And
we're so excited that
the first one is on co
-work. Congratulations.
Well done. We're
going to do incredible
things, Scott. Great
job, Dario. You're
doing a great job. Thanks
for everything you're
doing for the whole
industry. We're so
grateful to you. Thank
you for having me.
Really thrilled. Thank
you so much. All right.
And thank you for
coming to Dreamforce.
Please thank the
Anthropic team.
And now, please
welcome back,
from that brief
intermission,
Patrick Stokes.
Give him a hand.
All right.
Me again, just for
a minute. Okay, so I
think you can see how
special this is. And
what I really want
is for you all to go
out and feel it. You
know, Dario was right.
When you start using
Salesforce with an
agentic interface, the
amount of value that
you get from Salesforce
just explodes.
It's an incredible
experience.
Okay, so we've talked
about AI Force. it's
time to talk for a few
minutes about AgentForce.
You know, AgentForce
has been this
incredible platform for
us. I think I was the one
launching it maybe two
or three years ago.
I've lost track of
time right up on this
stage. And then in that
time, we have over 30
,000 customers on this
platform. We're doing
7 billion AWUs. We've
been adding more and
more to it, like
AgentScript and Voice, which
are GA now. But, you
know, we've kind of
learned something as
we've started putting this
out. This is built as
a platform. So any of
you can come and build
your own agents. But
what we learned is
that building agents,
it's actually kind of
tricky. Building with a
probabilistic system
is a new muscle, is a
new skill that we all
have to learn. And so
we wanted to solve for
that. So this year we
have been hard at work
building out of the
box agents that sit on
top of AgentForce that
anyone in the
organization can go and
implement and deploy.
anyone, not just IT, but
your business users as
well. And that starts
with agents like Hunter.
Marcus talked about
this a little bit. Your
outbound sales agent
out there responding
to your leads, hunting
them down and trying
to turn it into real
pipeline. Or Piper,
which you're going to see
in just a moment, which
sits on your website,
responding to questions
that all of your
customers might have.
And then, of course,
we have Casey. When you
need to get help, you
can go CKC right now
on help.salesforce.com.
You can deploy this
on your own website so
that your customers
can get help. But your
customers aren't the
only ones who sometimes
need help. Sometimes
your employees need a
little bit of help as
well. And we have page
for IT service and HR
service. So if your
laptop breaks, you know
exactly where to go.
And as Mark pointed
out, we're incredibly
excited about our all
new customer agent, Finn,
which is just an
incredible agent. I hope
you get down to the
campground to see Finn.
And now, to bring
Agent Force and all
of these agents to
life, I'm incredibly
excited to her first
Dreamforce main stage
appearance. I think
you're going to
like her. Please
welcome Katie O'Neill.
Thank you, Patrick.
Siemens is a global
leader in industrial AI.
Their technology
powers buildings and
factories and transportation
around the world.
Over the last
decade, Salesforce
has really become
an integral part
of how they run
their business.
And today, they're
driving success
with AgentForce,
a family of agents
working together
across the business and
we're gonna show
you these agents
in action. So let's
dive into a demo.
We're gonna start here
on the Siemens website.
Now Siemens, they
rely on a global
ecosystem of
partners to bring
their technology
to their customers.
But when one of
those prospective
partners arrives on
the website, They
could be left searching
through pages,
filling out
static forms, and
ultimately waiting
for someone to get
back to them.
That is potential
revenue slipping
through the cracks.
But Piper
changes all that.
Piper is Siemens inbound
pipeline
generation agent.
You can think about
her like their
newest employee on
a single mission.
Converting inbound buyers
into quality pipeline.
Piper, she is
always on, she
is super easy
to implement.
every customer goes
live in 45 days or
less, and she is
working 24 by seven. So
let's jump in, let's
engage with Piper.
Welcome back. How
can I help you today?
Hi, thanks Piper.
I got an email
from Siemens
about becoming a
distribution partner.
Can you tell me a
little bit more
about the program?
Absolutely.
Based on what I know
about your business,
I think there
could be a strong
fit with Siemens
Industrial Automation
Distribution Partner
Program. I pulled
together a quick
overview based on
what's most relevant
to your business.
How incredible is that?
Piper knows who
I am because
I clicked
through an email.
She's grounded
in the context of
Siemens Salesforce,
so she knows
everything about my
role and my company.
Combine that with all
of her knowledge of
Siemens messaging and
positioning, and Piper
just spun up a super
personalized presentation
just for me in seconds
on the website.
this is the dream
you have a hot buyer
and Piper is ushering
them along in their
journey now this has
piqued my interest and
I do want to take it
one step further thanks
Piper what would the
commercial model look
like for a distributor
of our size great
question about the
commercial model it's
definitely worth
exploring in more detail
let's get you in
touch with a Siemens
representative who can walk
you through it go ahead
and pick a time that
works for you feel
free to pick a time
that works best for you
okay so Piper knows
that a question around
commercial signals
buyer intent combine
that with my account
context Piper knows that
right now is the time
to bring in a seller
so she looked inside
a Salesforce saw that
Ryan Smith is my aligned
account executive
and in just a few
clicks I can book that
time boom pipeline was
just created no forms
no waiting Piper just
generated quality
pipeline for the Siemens
business that was
totally incredible
now that's one area of
the business where
agents are going to work
let's expand Siemens
digital workforce. Let's
talk about another
agent, an entirely
different area of the
business supply chain.
For Siemens, something
like supplier onboarding,
it is a process that
can take days. A
single disruption, it
can cause a huge domino
effect that creates
production delays, and
it can cost the company
millions. But that's
what we're solving
with Marshall, our
operations agent.
Marshall is going to take
that entire onboarding
period from days and
bring it down to just
hours. And here's how.
All we have to do
is give Marshall
the name of a
supplier and he's
gonna go to work
in the back end.
We're here in Slack,
but Agent Force
meets you where work
already happens.
So if you work out of
email or Microsoft Teams,
Marshall will come find
you in those channels.
Now you're watching
Marshall go to
work. He's doing
things like collecting
information. He's
reviewing documents.
He's even going to
pull in a person
when something
needs human review.
Now here, you're
watching, he's
getting through
the majority of it,
but if you'll
notice, there's
one area where
he's getting stuck,
and that's
actually creating
this supplier inside SAP.
And in fact,
this is where a
majority of AI
projects hit a wall,
which is actually
getting your agents
to work inside of
back-end systems.
So today, we are so
excited to announce
new capabilities with
Marshall that is going
to do exactly that,
and let's show you.
Now, as Marshall
jumps in these
backend systems, the
first thing he has
to do is he has to
learn. He has to
learn this process
of supplier
onboarding. It is not
a trivial process.
So we'll give him access
to an SAP sandbox.
You can think about a
sandbox like a classroom.
It's a safe learning
environment where
Marshall can go through
and safely learn
this process without
touching production.
You're watching him
do things like learn
where to click, which
fields are required.
But he's not just
memorizing those things.
He's using LLM reasoning
to really understand
the business rules
behind that process.
So here, for example,
Marshall will learn
that a US supplier
actually needs an
additional form
before they can
continue onboarding.
Now, this whole
process of
learning, this is
what would take
a new employee
weeks to learn.
But Marshall, he just
learned it in 90 minutes.
And what does he
do with all these
learnings? Marshall
will package them up,
create a library
of trusted actions,
and that is where
AI reasoning
becomes deterministic
execution.
What does that mean?
It means when it
comes time for
something like
supplier onboarding,
Marshall's not
just improvising.
Marshall's executing
against the same
set of trusted
actions every single
time so you know
you can rely on him.
Okay, so we just
watched Marshall learn
this entire process of
supplier onboarding.
Let's put him to
the test. Let's
see him go to work.
Now, in this next part
of the demo, I do
want to direct our
attention over to
Gus, our demo driver.
Gus, give everyone
in the audience a
quick wave for me.
But actually, Gus,
wave with both hands,
because look at
this. Gus is actually
completely hands
-free in this demo.
Gus is enjoying his
cup of coffee while
Marshall goes to
work. Look at this.
This is incredible.
Marshall is in
SAP. Marshall is
updating every single
field completely
autonomously. This
is incredible. This
is where agents
are at their best.
Repeatable work
that has to be
done right every
single time.
Now back over in Slack,
all your employees
are gonna see is that
this supplier has now
just been created, has
been onboarded, and is
activated. And if something
inside SAP changes,
no problem. Marshall
will go back into
that classroom. He's
gonna to re-learn and
adapt and that is trusted
process automation.
That is how
Siemens is putting
agents to work across
their business.
That's how they're
using Marshall
to take supplier
onboarding
from days down
to just hours.
That is how they're
using Piper to generate
quality pipeline.
This is Agent Force.
This is your digital
workforce. We're here
at Dreamforce. We are
so excited for you
to get hands-on. We
want you to walk away
with your own family
of agents. So come
find us in the Learning
Labs. And for now,
Mark, I will pass
it back over to you.
All right. How about
a huge hand for
Katie? Great job,
Katie. Well done.
Great demo. Well done.
Fantastic.
Amazing. Katie came from
our qualified
acquisition.
Qualified team,
stand up and take a
hand. Qualified team,
Piper. Amazing what
you have done. Built
Piper. Great job.
Great, great job. Okay,
my friend has
come from Munich,
Germany. I was
just with him.
Welcome, Roland.
Fantastic.
Great. Nice to have
somebody my size here.
Yeah, yeah. People
don't know my family's
from Baden Baden
and Bavaria. So, you
know, we have a lot
of fun together.
We've known each
other for a long time.
We're so grateful to
have you as part of
a Salesforce Ohana and
your first Dreamforce.
Isn't that right?
Amazing. It is.
What's your
initial experience
at Dreamforce
so far? I love
it. You throw
a great party.
Thank you. A lot of
great people. And Katie,
thank you very much.
Great job. And I'm
so happy to learn
that you share talent.
Great. Well, we're just
starting. We're
just starting.
We're just starting. Now,
okay, Roland, give us
your vision, because
you understand,
you know, these
deterministic layers, but
also these probabilistic
layers, how AI works
in the enterprise.
you're building
products yourself.
Siemens is an incredible
company. You know,
you built some of the
best, most exciting
technology across
every industry, whether
it's industrial or
even healthcare or
energy. It's amazing.
I think, you know,
all of us at some
time of our life found
ourselves in a Siemens
CT scan or seeing
how huge energy plant
that you have built.
It's amazing what
your company does. So
give us your vision,
you know, of how you
see this technology
impacting Siemens.
Well, I mean, you said
it. We are building
the real stuff.
Every third
manufacturing line in
the world is automated
in Siemens technology.
Every other
electron is touched
by Siemens technology
or controlled by
it and so on. So in
short, what we do is
we combine the real
in the digital world
in the age of AI.
So we build the
real thing, this is
the hardware part,
but we also build
digital twins of the
real world, which
behave really like
the real thing.
So combining
that is the huge
potential, and AI
is accelerating.
So we talk about
industrial AI,
and you phrased
it perfectly.
This is bringing
a probabilistic
technology into a
deterministic world.
Hallucination does
not really work on
the shop floor, as
you can imagine.
And that's the exciting
part about the journey
which we started. I
mean, you know that
Salesforce is the
backbone for how we serve
our customers in
selling, in maintenance,
service, and the like.
And onboarding of, I
mean, we have 120
,000 suppliers, 65,000
partners, and we count.
So that's huge. But we
don't stop there. So you
are the single source
of truth for customer,
the enterprise AI.
With our technology,
this team
center, this is the
backbone for products,
the products,
the parts in it,
instructions for
manufacturing, for service,
the single source of
truth of the product.
Now we bring that
together, so the enterprise
AI meets industrial
AI, and that helps
really our sales guys,
our service guys to serve
our customers much,
much faster and better.
Basically, we give a
virtual engineer next
to each sales rep or
service rep. And that's
just a start. I mean,
Dario said it. Even
if the models would not
change from now on, I
mean, they didn't see
most of the industrial
data yet. And this is
really where the real
world kicks in and
makes a big difference.
Yeah, that is a key
point. Now, I want to
ask you to that
point. You and I have
talked for years and
years because you helped
us build this amazing
children's hospital,
which is a few blocks
away from here.
So one of the
things we've always
thought about is the
CT scanner is going
to be not just
kind of, you know,
it's going to be,
I would say, more
intelligence, more of
a diagnostic device.
It hasn't exactly
happened, right?
Radiologists are still
in the loop. Even
though Jeffrey Hinton
said in 1995, we're not
going to have any more
radiologists, we have
more radiologists today
than ever. Tell us,
how is AI and that
world coming together? I
know you've thought
about this exhaustively.
So the thing about
AI is you come from a
world where you
just have a co-pilot
somehow helping you
in really embedding AI
technology really
deeply in your workflow.
You have to rethink
the way how you design
products, how you
produce them, and how
you operate them
deeply. It changes your
user interface. I
mean, you said it
perfectly. It changes
everything. and the
whole process behind.
The big thing in that
particular case is
data fusion, because
currently, I mean,
it's already there
to analyze CTMR scanners
with an AI agent
to really help the
doctor. The doctor
is obviously
finally in the loop.
But if you fuse data from
your blood diagnostics,
from your scans, even
the medication you get,
this makes the
way how you treat
people, or how
you actually
act before a
disease strikes,
bringing it completely
to the next level. By
the way, eating habits
does its own. I want
to ask you one critical
question is this.
Roland, when you think
about your vision
for your company or
for all your companies,
you have such a portfolio
of companies now,
over the next year,
call it, what's
the biggest change
you think that
your customers
will begin to see?
They will see that
a new superpower,
which is a channel
-purpose technology,
will change
everything what we do.
The way how we
design products,
the way how we
manufacture,
and the way how
we use them.
And that happens,
Dario said
it, in an
unprecedented speed.
It's great to have
you at Dreamforce.
Roland Bush, welcome.
Thanks, Mark.
So glad to have
you. Please welcome
him. Thank you so
much. Great job.
Okay, Marianne,
take it away.
Thank you, Mark.
We are all here
at Dreamforce
to answer one
big question.
Will AI actually
work for my business?
You know what is at
stake. A lost customer,
a missed quarter,
your reputation.
You know, generic AI
is basically like an
amazing race car with
absolutely no wheels.
but the customer
360 well that is the
wheels and the steering
wheel why because
of all of you you
have for the last 27
years put all of your
business logic your
data your processes right
inside of Salesforce
and the customer 360
brings all of that
alive and then what
we did we took that
amazing foundation
that you built and we
built on top of it
our product team has
been and working so
incredibly hard, innovating
every single cloud.
We've completely
re-energized every
single business and
we've put agents and
AI at the heart of it.
Now, I know that we
have 1600 sessions,
but I have nine
super favorite
features that I want
to walk you through.
So are you ready?
All righty, let us
start with sales.
What's the absolute
best thing about Sales
Cloud? Well, it is
Hunter, of course.
And sorry, Patrick,
but the best part
of Hunter is not just
that it's all new
and it is an outbound
sales agent, it's
that it is built with
your data vendors
included. What does
that mean? Yes,
ZoomInfo, Demandbase,
Apollo, your
data vendors are built
right in. That is
amazing. This agent
has everything.
But I am now on
Service Cloud and my
family, well, we are
kicking **** because
CCAS is going live
in October. Now
this person is looking
at me wondering
why we're putting
cats in the ocean.
Contact center as a
service is important
because it's your
contact center. It is
your telephony. It
is your CRM as one
system. Every single
person needs this.
Why? Because you don't
want to think about
technology. You want
to be focused on
your customers. I
think I hear angel
singing, no more tool
stitching ever again.
And what about marketing?
Well, marketing
is crushing it, and
they're all new campaign
agent. It actually
builds and iterates
campaigns by itself.
Now, how many marketers
love manually building
500 campaigns in
the middle of the night
before Dreamforce?
Yay, no one. So I am
sorry, the midnight
snack business is
now officially closed
marketing cloud is
really taking us to the
agentic future and the
new commerce cloud well
it has a shopper
agent which frankly is
way too good I had one
conversation and then
I ended up with ten
outfits for this keynote
because it looked
at the shipping
information the inventory
it even made me backups
for what I was gonna
buy so I said yes to
the dress and then
to the suit and then
to another dress. Thank
you Commerce Cloud.
And if anybody here has
people who are fixing
things, physical things
out in the field,
well you know that
field service is where
it's at and the best
thing about field service
is voice-to-text. Now
who loves taking off
their gloves, using
greasy fingers, touching
a phone while you were
doing the job? Well
with voice-to-text
you have no hands that
you need to use. You
can get more paperwork
without your hands,
you just speak and the
form literally fills
itself. That is amazing.
Okay, now hold up.
We just launched IT
and HR service last
year here at Dreamforce.
I happen to run
this business so I'm
not allowed to pick
favorite children.
But if I was, my
favorite child would
be our brand new CMDB.
Why? Every single
IT organization knows
that the CMDB, it
is the brains of your
organization. It's
how you map your
asset. And ours, well
it even updates
itself. You're welcome.
And with revenue
cloud. What's revenue
cloud? Well of course
it's quote to cash
and the all-new renewals
agent. I absolutely
love that it
automatically figures out
what accounts you
need to go reach out
to and it even does
the upsell. That is
amazing. Anyone found
their favorites yet?
Keep watching because
now we have Tableau.
Tableau gives you a
semantic understanding
of your entire business
that's live for
your teams and your
agents. And what is even
better than that? Well,
proactive intelligence
is better than that.
Who wants to know
the story without
even having to ask for
it? thank you please and
then there's industries
every single one
of us we run our
business inside of
an industry there
are regulations
that maybe aren't
just ours but our
regulators the industry's
team is amazing
they have packed all of
that into industry so
that know-how is built
into Salesforce you
can do what you want
and make sure it is
compliant every single
time and I'm gonna
steal this phrase from
Miguel, but we have
an embarrassment of
riches. There are over
500 agents and actions
built right in every
single industry, every
single sector. So
if you were wondering,
dive right in today.
You just saw the amazing
reimagined customer
360. It is on fire.
This is amazing.
So as you can tell,
I'm a little obsessed
with product, but
what I love more than
product is I love
the people I get to
work it with. So Rohan,
can you stand up?
Rohan just joined
us. He is our new
president of platform
and engineering.
This is his first
Dreamforce, everyone.
Thank you, Marianne.
Can you tell
us what you're
working on? I've
heard you have an
amazing announcement
for us. Oh my
***, it's amazing.
For the last three
months, I've traveled
around the world,
met a lot of
customers, and one
consistent piece of
feedback that I've
heard from everyone
is that they want
a choice for AI.
They essentially
want to pick the AI
model which is best
in terms of price
performance for the
outcome that they
are seeking.
That's awesome. And
given that feedback,
I'm so excited.
Are you guys excited
to introduce COA,
Salesforce's first
CRM reasoning
model for Customer 360.
You You know, it's
interesting. You
just step back
and think about 27
years of product
innovation in CRM,
deep understanding of
the customer scenarios,
and almost a decade
plus of AI and
data research. All
that learning and
all that value
has gone into COA.
You know, COA is
designed to support
long-running agents
that execute multiple
tasks and complete
complex outcomes.
So think about a
sales agent that's
trying to figure out
the next best step to
take to actually
pursue a complicated
but a very valuable
sales opportunity.
COA can help with that.
Think about a
service agent that's
actually figuring out
the next best step
to take to handle a
complicated customer
case, a customer
support case, to
get the customer
to the right place.
COA can help with that.
You know, as a part
of designing COA, our
commitment to customer
trust has always
been maintained.
It's something that's
extremely important
to Salesforce. Kowa
has always been trained
just on synthetic
data built and
extending Nematron from
NVIDIA, another
phenomenal company, right?
And the reason that's
important is because
our commitment to
customer trust has been
carried forward.
Not a single byte of
customer data was used.
We can't wait to see
what you build with
it. And to talk about
where we are going
with this incredible
partnership, let me
hand it over to Mark.
All right, great
job. please welcome
Rohan Kumar we're so
excited to have you
Rohan as our new
president of engineering
and platform but
we are especially
welcome please
welcome Jensen Wong
the CEO of NVIDIA
is here Jensen great
to have you Jensen
thank you for being here
we all have to learn
how to walk and talk
at the same time how
are you guys doing this
Jensen we can do that
yeah let's walk here
come on let's walk
and talk I'll do the
training myself Jensen
this is an exciting
thing to be able to
complete sense you have to
take a left now all
right all right so
Jensen congratulations
on everything that you
are doing for the whole
industry the GPU it's
a huge success it's
transformed everything
you're sitting next
to David Kirk on our
board who I think was
at nvidia for a while
as well that's right
love david kirk and now
give us your vision
of the future you know
where are we going
because of course you've
got these critical
components you've got
the gpu and now you've
got the number one
open source platform in
the world that companies
like ours can fine
-tune you know how do
you think this can go
ahead we can go this
right here do this
Well, you had to stop so
you could think, I
could do this all day.
And so, first of all,
as you know, we're
going through a new
industrial revolution,
just as a few
hundred years ago.
Yeah, we could even
go right down this
aisle, everyone would
be thrilled. With
electricity, we could
power everything.
With the internet,
we can find anything.
Now, you have to look
into that camera while
you're talking, it's
the only thing. With
internet, you can find
anything. And now with
artificial intelligence
as an infrastructure
layer across the
planet, we can know
everything and do anything.
And so this layer,
this layer, you want
to go this way? Sure.
See, now you got it.
You got it. This is
good. Training has
come to a complete.
This is fantastic.
This is good. This is
good. Yeah. Yeah. And
so now that's the first
part. Now, the work
that we do together,
what we see is that
every company, every
enterprise, every
country would become
an AI company. Everybody
would be. You're
an AI company. I'm
an AI company. We're
going to have – it's
going to be an agentic
enterprise. And so
what we did was we
said, listen, we
took the GPU and we
evolved it into these
giant systems that are
now essentially full
-stack AI factories.
And so just follow me.
You've got this now.
You've got this.
Jensen, we're all
following you, bro.
We got this. I got
this. And so listen,
so what happens is we
evolved our company
from a GPU company
to a full-stack AI
infrastructure company.
We built out these
giant systems that
are essentially AI
factories that turn
electricity, that turns
the data that are
stored in all the
enterprises, and we turn
it into intelligence.
And I was just amazed at
the way you
were doing it.
I was kind of,
did you read
that? I don't think so.
You guys were just
doing it. So anyways,
so what we did was we
created this full-stack
AI factory, and then
on top of it, we said,
listen, how can we
turn every single
enterprise into an agentic
enterprise? And so we
did several things.
The first thing that we
did was we created the
frontier AI models.
NemoTron is for
language, but we
also lead five
other frontiers.
NemoTron.
Now you guys are going
to make me nervous.
And so we have NemoTron.
You can also pause
and just stop. You
can pace, pause, go
forward, whatever you
want to do. We're going
to cover everybody.
Is that a metaphor for
the AI industry, do
you think? We can go
anywhere. Oh, okay.
Here we go. And so the
first thing is Nemo Tron
is a language model.
Cosmos is a world
foundation model. It's
at the frontier.
It is the frontier.
Alpa Maya for
navigation systems,
autonomous vehicles,
for example.
We have BioNemo with
a Proteina Complexa
at the frontier
of protein models.
Incredible. and then,
of course, Groot, our
human or robotics
models. And so we're at
the frontier of these
models all completely
open. That's the first
thing that we did.
The second thing we did
was create an agentic
harness system. It's
completely open. You
could put your model
inside of it, create
amazing harnesses around
it, and the runtimes
that do it. And then
the third thing, super
important, is this
thing called OpenShell.
It is the world's
first secure sandbox,
but also secure
runtime. and so
that you could deploy
these agents at
scale across
enterprises safely.
And so these are the
things that we did,
and now we can turn
every single enterprise,
every single company
into an AI company.
And, of course, we
believe we see a
future where the world
uses closed models,
but every company
would also be able
to build their own
private models,
your own customized
models, which is the
work that we're
doing with you guys.
Salesforce is going
to be an AI company.
Jensen, we have been
seeing an incredible
debate for the last
day on pacing and
safety and the future
of these models.
You've had some
time to think about
what everybody is
saying and kind
of bring it all down
to us and explain,
you know, how
do you see that?
Well, safety
is paramount.
In a lot of ways,
it's job one. However,
safety is an
engineering problem.
We're developing
software after all. We're
developing computing
systems after all.
It's a complicated
computing system, but
it's ultimately a
computing system. And
so the first thing is
to make sure that we
create the test
environments for testing
these complex systems.
And those test
environments have to
be built in a good way,
built in a safe way.
And then the second
thing is we have to
test these products.
If we're not
confident about
the safety of the
products, like
all companies,
like you and I,
all the companies
here, If you build a
product or a service
and you're not
confident in its
functionality, capability,
or safety, then
don't release it.
And so that's a very
obvious thing to do.
You pace yourself
until you are confident
you're releasing
something that the
market would appreciate.
The market forces
are already there.
We don't need any
new laws. We don't
need new regulations.
We just need companies
to decide that
when it's run as
fast as they can,
I think innovation,
speed, and safe
products are not,
it's a false choice.
You could definitely have
both at the same time.
So run as fast as
you can, but if you
feel at any given
point in time the
company's out of
control or the product's
not going to be safe,
you know, take a
pause and make sure
you get it right.
What's your vision
for the next year
in the short
term? What did you
like to see everyone
in this room?
We have 10,000 people
you can see all around.
We have 10,000 people
in this room. and
we have 10 million
people online, 53,000
people here at Dreamforce
with us this year.
I think this is your
second Dreamforce.
You know, what do
you want to see
us all kind of get
done this year?
Well, I'll say this
first, and then
I'll say it last.
And I'm pretty sure
what we want to do
is agent force every
company. Do you guys
agree with that?
All right.
So I'm his sales guy.
The consummate sales
guy, sales guy.
And so, of course,
what I mean by that, of
course, is that we
really want to deploy AI.
You know, in order
for all of our, the
people here, you
represent a lot of
different companies,
a lot of different
countries, you don't
want to be left behind.
This is too
important of a
technology
revolution. It is too
extraordinary
of capabilities.
Engage the technology.
Learn about it.
you know, if it doesn't
work for you right
away, don't give up on
it. And the reason for
that is because there's
a massive industry
working behind it,
making it better all the
time. If you just
tested it today and you
felt that it did 80%
of what you expected,
test it again in a couple
of weeks. It's going
to get much, much
better. And so don't
give up on the technology.
The most important
thing is don't get left
behind. I think that
the big picture,
though, is that in the
last six months, there's
no question AI went
from the labs into
what I would consider
extremely useful AI.
You're experiencing and I'm
experiencing across
all of our companies.
The surprising
thing for a lot of
people and wasn't
surprising to me,
okay, and in fact
you heard me say
it, I was the first
CEO to come out
not in the software
industry to
say the end of
software is nonsense.
This is going to be a
layer on top of software.
This was a layer on
top of software. This
new layer on top of
software is going to
be agentic. It's going
to make you use the
software so much better.
And so that's the
first idea. The second
idea is AI is going to
destroy jobs. That's
also completely nonsense.
And the reason that
is very, very simple.
There was, you and
I are you know we
look young the fact
that we could the fact
the fact that we
could we really look
young yeah the fact
that we could yeah
we really do you're
right that we could
sit here and pace
yeah and talk at
100 miles an hour
yeah and keep up with
young people like
that yeah they we are
it's really true
what you're saying by
the way it's really
true it is Roland do
you agree with this
yeah Roland also agrees
the two of you guys
you know I'm very
good friends with
both of you guys the
thing that I was amazed
by is finally look
when I'm with the
two of you I always
feel like I need to
stand on a chair and
literally yeah literally
into this I just
want to let you
guys know that that
when I'm on an
airplane I'm a
lot more comfortable
than you guys
and so
through human
evolution they
realize that big
is unnecessary
there's several
it's about a million
years of evolution
between you and me
and so
this keynote is making
a dramatic turn.
Well, we're
going to connect
it to today's
entertainment.
And from here,
we're going
to pivot right
into comedy.
And so, Mark,
the thing that's happening
now is, of course,
AI is becoming productive
and useful. And
as a result, the number
of tokens that are
being generated is
skyrocketing. One of the
most important things,
of course, is that
closed models are doing
incredibly well in the
last year and I think
the number of tokens
increased skyrocketed
by 25x and that a lot
of that in the last six
months what's amazing
is the open models in
that same period of
time increased fit out
of that excuse me the
open models went from
30% at the beginning
of that year to now some
70% and so what that
basically says is
that people are both
adopting closed models
at exponential rates, but
also people are building
their own custom
AIs because every single
software company is
an AI company, and
every single enterprise
is going to be an agentic
and AI enterprise.
And so I think that
these transitions are
super powerful for the
industry. As a result,
companies are
going to become
more ambitious than ever.
You're more
ambitious than ever.
I'm more ambitious
than ever. As a
result of our
ambition and with the
productivity boost
that we get from
AI, the sky's
the limit for us.
I agree. The sky's
the limit for our
company, the sky's
the limit for
every industry,
for every single
country, so engage
AI, don't get
left behind. Yeah,
and I'll tell you,
the sky is
especially the limit
for our trailblazers.
I think this
technology, the way it
empowers people, the
way it takes people
who can really make
a huge dent in
companies and transform
them, the technology
can partner with
them to do this in
incredible new ways.
That is what I'm
really excited about.
You and me, too. You
and me both. Jensen,
we could not be
more grateful to you
for coming to Dreamforce,
being here with
us, being a part of
this. Thank you. We
are so good. Please
thank Jensen Wong.
Thank you.
Thank you.
Thank you. Thank
you, Mark. Thank
you, Jensen.
All right.
Amazing. How about
that? Wasn't
that fantastic?
And with that, I
want to bring back
our good friend
Rohan Kumar. Rohan,
let's hear it.
Thank you, Mark.
That is amazing. Well,
this is not going
to be a comedy
session, but I want to
talk about something
that's foundational
to everything that
you've seen today.
Data and
enterprise context.
You know,
enterprise context
is anything
that makes your
business uniquely
your business.
You know, these models
are very intelligent.
They're extremely
smart. They know a
lot about the world.
They know nothing
about your business.
They don't know your
customers. They don't
know your products.
They don't know
your employees.
They don't know your
transactions, your
conversations.
They don't know your
business workflows.
They don't have
the history and the
context of how your
business functions.
And guess what? At
Salesforce, we have an
incredible suite of
products that helps you
create this enterprise
context, manage it,
secure it, and make
it available to
all the agents across
your enterprise.
Let's get started.
The first step
is to get your
data ready for AI.
You know, before your
agents understand
your business, you
need to understand
your data. And it's
actually extremely
complex. You know,
data is locked
into silos, data
lakes, warehouses,
storage systems,
applications.
Informatica is
the product suite.
It's the world
-class product suite
that helps data
leaders discover
their data from
all these silos,
clean it, curate it,
and make it ready
for AI. So that's
the first step. Use
Informatica to get
your data ready for AI.
Now, once your data
is ready for AI,
you basically
need to sort of
create the
trusted context.
And the way you
create trusted
context is
through Data360.
So what is
trusted context?
You know, a
customer of yours
called your support case.
That is data.
deeply understanding
that customer, what
is their business,
what are they trying to
accomplish in the
moment, and what can
your agent do to take
the next best step
and help them, that
is enterprise context.
And you know,
with Data360,
you can use the
zero-copy capability
to get the data
that's outside of
Salesforce. We know
there's a lot of your
enterprise data
that's outside of
Salesforce. And you
can get all that data,
synthesize the
enterprise context and
knowledge without actually
physically copying
those data assets.
So that's how you
create the enterprise
context now once
you have your enterprise
context created
You need to create
the business semantics
You know every company
has a unique way
in which they think
about the business
conversations What
does revenue mean?
What does ARR mean?
What does customer churn
mean? What does
customer health mean?
These are not just some
static fields inside
a database These
are business metrics
business relationships
and logic that have
been built over years
and And Tableau is
the most amazing tool
for you to go create
those business
semantics, augment your
enterprise context,
and make it available
to all the agents
across your enterprise.
Now you've got your
data AI ready, you
essentially created
the enterprise context,
and you've got the
business semantics.
These agents that
have access to all
this information are
extremely powerful.
But put yourself in the
shoes of the
security leader.
They create an amazing
amount of security risk.
What do these agents
do? Like, what
are they accessing?
Can they leak my
confidential data,
my enterprise
context? These are
serious questions.
That's why I'm
so excited to
introduce
Salesforce Guardian.
Salesforce Guardian
is the security
suite of products.
That's the
evolution of
Shield and Trusted
Services that focuses
on two things.
Agent identity, how
do you discover agents
that are going rogue,
and data security.
So think about
data classification
and data lifecycle
protection.
Those are the two things
that we're focusing
on of solving with
Salesforce Guardian.
And of course,
our commitment
to zero data retention.
You saw Mark speak
about it multiple times.
It's very important
to us that even
when models
reason over your
confidential enterprise
context, that's
your IP, we will
always protect it.
All right, that's how
you secure your AI.
The final step,
essentially,
is think about
the IT leader.
Now you have a
digital workforce
that's coming
together. Hundreds of
agents, thousands of
agents, who knows?
Millions of agents
across all your
teams, platforms
and enterprises.
How are you going to
manage them? How are
you going to discover
them? How are you going
to control them,
especially cost control?
That's where
MuleSoft has been
up-leveled into
Agent Fabric.
IT leaders have
trusted MuleSoft
for decades to
manage their
APIs that connect
their business.
With Agent Fabric,
you can manage all
your agents using
one single registry.
All right,
so you've seen
Informatica
gets your data
ready for AI.
Data360 builds out
your enterprise
context. Tableau
builds out your
business semantics.
Salesforce
Guardian helps you
secure your AI.
And then MuleSoft
and Agent Fabric
helps you manage
and govern your AI.
Let's see how this comes
together at a
customer, at Echo.
At Echo is an
agentic enterprise
that actually is
helping candidates
who are looking for
jobs, mapping them
with their active
opportunities.
Think about it.
Millions of candidates
every year looking
for new jobs, right?
And to get this right,
the ADECO agents
have to rely on
trusted context that's
built on Data 360
and Customer 360.
It's incredibly
exciting. Just this
year alone, based
on the scale,
they've managed
2.6 million agent
interactions with
these candidates.
I'm going to show you
how ADECO is actually
building these agents
in a very trusted
and scalable manner.
But before I do that,
I'm going to pause it
tomorrow to actually
show us the agent
experience. Go ahead, Mara.
Awesome, Rohan. Let's
do it. Who's ready?
Okay.
Okay.
So ADECO is this huge
staffing company,
as Rohan said, and
they connect people
all over the world
with their dream job.
But the scale of
ADECO, it's massive.
They have over
five million
candidate applications
every single month.
So the scale is
great, right? But
it's too much work
for their recruiting
team to handle.
So what did the
ADECO team do?
Well, they went
ahead and they
brought on a
recruiting agent
to manage all of these
candidates, to pull
them through the funnel.
And they named this
agent Ada. They wanted
to personify this
agent so it felt like
an extension of their
brand. And Ada is built
on Agent Force Voice
so she can have live
phone conversations with
candidates all around
the world 24 seven.
So let's see
it in action.
Who's ready? Let's do it.
Okay, so we're
going to do a
little role
play right now.
Let's pretend that I
just replied or applied
to an IT role. Wish
me luck, it's not my
forte, but my application,
it's stuck. It's
stuck in the process.
So I want to give Ada
a call, and I want to
see what's going on.
Ada, ADECO's AI
recruiting assistant.
I see your IT support
specialist application,
JR325421 is
paused due to an
expired CompTIA
certification.
Have you renewed it?
I have. My confirmation
number is MP2890.
Am I able to move
forward in the process?
Let me take a look.
I was able to verify
your new certification.
I'm updating your
application now. Is
there anything else
I can help you with?
Nope. I'm all
set. Thanks, Ada.
Okay. So what
just happened?
I just had a live
phone call with
this recruiting
agent, and it was
a really productive
experience.
I was able to get
my problem solved, I
was able to move
through the process.
And the question is, how?
How did that work?
Well, it's because of all
of the rich
data in Data360.
This is your agent's
single source of truth.
Mark said it
earlier, this is
the data that
drives your AI.
So Ada, she was able
to see everything about
me. She saw what my
name was, she knew
my identity, She saw
my job application,
she knew which role I
was going after, and
she saw that certification
flag. She knew
that I needed to renew
it and complete that
in order to move
forward in the process.
So this was a really
great candidate
experience for me,
right? I'm feeling good.
But the power of
agents, it's scale.
That personalized
experience that Ada
just gave me as a
candidate, she could
give it to hundreds
of thousands of
candidates all at
the very same time.
So speaking of scale,
what's really
important is that the
business leaders at
ADECO, they can see
the impact that
she's having on the
business. It's not just
about one candidate
interaction. It's
about knowing
that she's moving
the business forward.
So here we are in
Slackforce, and
this is a live
interface that's
pulling all of the
information of what
Ata's doing with
her candidates.
I look at this, and
I'm like, wow, Ata's
going to work, right?
Ata's been busy.
I can see that she's
having conversations
all around the globe.
all the way from
the United States
to Spain to France.
And more importantly,
I can see that she's
moving these candidates
through the funnel.
Because when you
think about agents,
it's not just about
knowing they're
having all these
interactions,
it's about making
sure that they're
moving your business
forward. So I can
see she's pulling
these people through
to hire and she's
filling these jobs.
So I just showed
you one example of
an agent, right?
I showed you a
recruiter agent that
ADECO has used to
engage these
candidates at scale.
And companies like
Adeko, they are deploying
agents all across
their business, and
all of you guys,
right? But the next
major question is, how
should I think about
managing these agents,
and how should I
do it with trust
front and center? So,
Rohan, I know this is
top of mind for you.
Break it down for us.
Thank you, Maura.
That was wonderful.
So now you want
to pay attention.
I know it's towards
the end of the
keynote, but you really
want to pay attention
at this time,
because I'm going to
show you two new
product experiences that
have never been
shown at Dreamforce.
Agent Fabric for the
IT leaders to manage
their agents, and then
Salesforce Guardian for
the security leaders
to secure their agents.
So what you see on
the screen over here
essentially is the
homepage for Agent Fabric.
It essentially has
scanners that are
actively scanning your
enterprise continuously
to discover new
agents as they come
up, and then agents
that become inactive.
Let's go take a look
at the agents tab.
Here you see the list
of agents, all the
agents that are there
in the enterprise.
And I want you to focus
on the provider column.
You see the agents
from Azure, Microsoft,
AWS, Google, and
Agent Force, of
course. So every
provider's agents are
actually managed by
Agent Fabric. Now
let's go a little
deeper into the other
recruiting agent
that Morris spoke to.
Here, as an admin,
I get a very clear
view of all the skills
that the agent is
using. how the
candidates get qualified,
how does the agent look
at the verification
status, they have
listed a whole bunch
of things on their
resume, verifying that
those are actually
true. Let's go a little
deeper into the lineage.
Where is this agent
getting its grounding
data from? Remember,
enterprise context
is how the agents
become deterministic.
This essentially shows
you how. And the beauty
is we have deeply
integrated agent fabric
with Informatica.
So all the catalog
information in
Informatica, where
your catalog was
discovered across
your enterprise,
those sources show
up, and so the IT
admins can pick
what the agents get
connected to. So
that's the first issue.
The next thing
as an admin I'm
worried about is,
hey, how are these
agents performing?
What are they,
you know, like, what
does the performance
look like? And
with agent fabric,
you basically see a
very clear view of
the average latency.
So every request,
how long does that
take to complete?
What's the error rate
of these interactions,
agent interactions?
That's important.
Policy violations,
like is the
agent going rogue
again, should
something be
done about it?
And then the
total number of
requests. This
is important from
a cost management
standpoint.
It's great that the
number of requests
are increasing
because you want the
business to grow. But
how does that impact
cost? Let's go take
a look at that.
So in the cost
management time in agent
fabric, it makes it
really easy. So you have
these things called
agent fabric wallets,
which essentially
is a way for you to
budget your spend across
multiple agents. So
here you can see
Ada sort of hitting
towards the end of the
budget for the month.
And Agent Fabric
essentially gives me a
way to optimize my
agents. It's observing
your agent interactions,
what your agent is
doing. And using AI,
it's figuring out
certain optimizations
that will help you
reduce your token
costs. So it's pretty
amazing. So I can just
go click, view the
optimizations for
ADA, understand the
recommendations being
suggested. If they have any
behavior changes, if
I'm okay with that,
all I need to do is
just go apply the
change. And that's
how I manage my costs.
So there you go.
So agent fabric
essentially helps you
manage, govern, and
control your costs.
Now let's put ourselves
in the shoes of the
security leader.
Like I said,
the big thing
that agents change
are agent identity,
really trying
to understand the
risk associated
with the agents,
and data security.
And those are the
two big areas that
Guardian is focused
on in terms of new
innovation. We show
you all the agents
that are considered
risky based on the
actions that they're
taking. And then across
your data assets,
which data assets
are not classified
and not protected so
the security leaders
can take action.
Wow.
So that covers
Salesforce Guardian.
We've shown you a
lot within Data360.
And guess what? Across
TeamForce, there
are many more
sessions that you can
go watch to learn,
go much more deeper.
I have a keynote that's
coming up where I'm
going to talk about the
evolution of Data360
to what we call the
enterprise AI harness.
This is going to be
an amazing future
for us. And with that,
let me hand it over
to Mark. All right,
great job, Rowan.
Great job,
Rowan. Really,
really great.
And Denny, please
stand up. Please
welcome Denny, the
CEO of ADECO, is here.
Great to have you,
Denny Mon ami.
Thank you, Mark.
Really excited. We
had our friend from
Germany. Now we have
our friend from France.
So, Denny, just
give us the vision
for how you are
using AgentForce and
interviewing all
these candidates and
automating your
companies and building
new companies like
our potential.
Give it to us. Well,
first of all, thanks
for having me, and
it was great to
hear Jensen saying
that, you know, jobs
are going to remain
in the world, right?
That, you know, the
massive destruction
of jobs is not
going to happen.
So, actually, what
happened is we started
to identify the
business by thinking
about what was happening
in the company.
We are a people
company, and recruitment
is about people
talking to people.
And actually, our
recruiters were doing
a lot of things,
but not enough time
spent in the human
-to-human connection.
So what we did, we
didn't start where
it was easy. We started
on what mattered
most, which is
the core process.
We started on the
core workflows.
But on top of that,
we had a growth
mindset. We wanted AI
to be a growth engine
for the business
by generating, you
know, a higher level
of conversations with
our clients and
our candidates. And
with AgentForce, it's
now possible 24-7.
That was a life
-changing moment for us.
On top of that,
you know, the time
spent, the time
saved, now our
recruiters saved 35-40
% of their time,
thanks to AdzentiKI.
And they used that
time to create much
more qualitative
conversations with
clients and with
candidates. And when
you do that, you
grow the business. we
have placed 20,000
more people year-to
-date thanks to
better conversations.
And in doing that,
we also create
joy at work
because people are
focused on what
they love most.
And the last
thing, because
you mentioned
our potential,
I think when we started
to work together,
we had a common
vision that AI had to
happen with people
and not to people.
And that common vision
created our potential,
this AI native
platform that is there
to guide our clients.
Many clients still
struggle about how
they can scale AI and
struggle on how to
decide what work goes to
AI and what work
remains done by humans.
And our potential
is about that. It's
about core business
reinvention, measuring
outcomes, this is
fundamental, and
also bringing people
along. So, you know,
at the end of the
day, if AI wants to
be successful, and
if, you know, if we
want to measure and
bring the returns,
people cannot be, you
know, an afterthought.
We have a common
responsibility
to create a
human-centric AI.
Very good. That's
what we are about.
Denny, great
job. thank you so
much for being
here at Dreamforce.
We could not be more
grateful to Odeco
and to you and for
your leadership and
everything you're
doing. Thank you so
very much for coming
and visiting with us
today. Thank you.
Thank you very much.
Well, this is the moment
to start your agentic
enterprise journey.
We have just an
incredible show set up
for you. You're going to
have an amazing
opportunity to get going.
Dreamforce is where
everybody transforms,
And we are so
grateful to each and
every one of you for
joining us today at
Dreamforce and spending
the next several
days with you.
Welcome to Dreamforce.
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Dreamforce Main Keynote 2026
Join Salesforce Chair and CEO Marc Benioff, along with special guests, to explore what it means to become an Agentic Enterprise, where humans, agents, and platforms together promote customer success.
Starring
- Roland BuschPresident & CEO, Siemens AG
- Rohan KumarPresident, Chief Platform & Engineering Officer, Salesforce
- Katie O’NeilProduct Marketing, Salesforce
- MaryAnn PatelSVP, Product Management, Salesforce
- Leandro PerezSVP & CMO, Australia & New Zealand, Salesforce
- Patrick StokesPresident, Applications & Marketing, Salesforce
Coworker in Action: Real Use Cases, Real Time Saved
Meet Coworker, your new AI teammate. Learn how it turns enterprise data into trusted work. See it in action and learn how to get up and running in minutes, not days.
Meet Your Team of Agent Coworkers
Your digital workforce: out-of-the box agents built for specific jobs across your business that come with the data, skills, and workflows they need, so you can get them up and running fast.
Meet AIforce as Anthropic Brings Salesforce Data into Claude
Connect Salesforce data to Claude, ask questions, build a command center & publish to any channel.
How Agentforce Turns Complex Processes into Autonomous Work
Orchestrate supplier onboarding from Slack to SAP, with agents coordinating work and executing backend processes autonomously.
Put Customer 360 Apps to Work
Every Salesforce app already encodes how your business runs — your data, your process, your rules. Now we’ve rebuilt every app for the agentic enterprise.
Access the Data Foundation with Data 360
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AIforce: The Live Interface for Salesforce Anywhere
Learn how AIforce delivers an enterprise harness that wraps every agent in your data, rules, and oversight, and how Agentforce operates on that harness to deliver agents that deliver trusted outcomes.
Takeda Engages Customers, Donors, Patients with Agentforce
Global biopharmaceutical company Takeda uses Agentforce to help teams navigate teams of complex data quickly, driving innovation while enhancing customer relationships.
Vivint Delivers Seamless Customer Service with Agentforce
Vivint needed to scale service for 2M+ smart home users without sacrificing its award-winning customer experience or breaking the bank. Learn how autonomous agents became the answer.
Pascal Bornet Shares the Secret to Succeeding with AI
As AI agents become coworkers, the biggest challenge is not how to build them, but how to lead them. AI expert and author Pascal Bornet shares how leaders can design, govern, and scale AI.
Fisher & Paykel Serves Customers Better with Agentforce
Learn how premium home appliance maker Fisher & Paykel deployed out-of-the-box agents to drive customer service resulting in increased deflection rate, more productive employees and happier customers.
How Agentforce Boosts Revenue for Batteries Plus
Batteries Plus had to reach more customers to boost revenue and pipeline. Agentforce's Engagement Agent helps them do what they've never been able to: engage every customer, personally, at scale.
Why Human Judgment Is Your Biggest AI Advantage
Salesforce's Chief Ethical & Humane Use Officer Paula Goldman discusses her new book, the real AI edge, and why human judgment matters more as machines get smarter.
The Future of AI from a Leading Practitioner
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The Trust Map: Guardrails, Governance & Control You Can See
Salesforce built the Trust Map so you don't have to take "trust us" at face value. See how AI guardrails, governance and customer controls help you navigate risk and unlock AI's potential.
Bill Nye on the Science of AI in a Sustainable Future
The Science Guy Bill Nye synthesizes the moment we are in and talks about how to make AI sustainable for the long term.
What Happens When Your Coworker Is an AI?
Salesforce President, Connor Marsden, on the real day-one impact of an AI Coworker — faster deal insight, lighter admin, and what it takes for sellers to work alongside it.
Meet Claudeforce: How Salesforce Closes Deals Faster with AI
Adam Alfano, President, Global SMB and AI Labs GTM Sales, discusses how Salesforce in Claude's AI skills help him and his customers scale and run their businesses.
Learn How Grab Drives Sales and Growth with Salesforce
From taxis to food delivery to digital payments, Grab uses Agentforce to create a unified, data-driven platform and drive sales operational excellence by automating low-value tasks.
Kate Strachnyi on the Power of Data for Winning the AI Era
DATAcated founder Kate Strachnyi breaks down how companies can use their most valuable asset, their data, with Salesforce and Tableau to win in the AI era.
How Trailblazers Lead the Agentic AI Era
AI is changing how Trailblazers work and what they can build. Christophe Coenraets, SVP of Trailblazer Relations, shares why Trailblazers are essential to building the Agentic Enterprise.
The Trailblazer Community at 20: Building What's Next
For 20 years, Trailblazers have learned, connected and built together. Meredith Brown and Gloria Ramchandani celebrate this global community and how it's preparing Trailblazers for what comes next.
Trailblazer Voices: 20 Years of Stories, Wins & What's Next
Hear from Salesforce MVPs who've grown with the Trailblazer Community through every era as they share the stories, wins, and lessons behind two decades of building together – and what's next.
Allie Miller Unpacks What It Takes to Succeed as AI-First
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Inside iFood's Autonomous Growth Engine
Learn how iFood uses Agentforce and Data Cloud to warm up and capture 4K restaurants per month, freeing teams to focus on growth and efficiency, not paperwork.
Chamath Palihapitiya on the Future of Tech
Salesforce Chief Platform & Engineering Officer Rohan Kumar sits down with Social Capital founder Chamath Palihapitiya on the future of tech, the true ROI of enterprise AI, and scaling the AI era.
Why AI Changes Everything
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Up Next
Questions about Salesforce+? We have answers.
What is Salesforce+?
Salesforce+ is the free streaming service for business. It’s a place to watch live events that help you grow your career and company, on your own time. Salesforce+ is produced by Salesforce, so you’ll find our company’s big events like Dreamforce here — as well as virtual learning made for your role and industry. Everything is free and unlimited.
What can I watch on Salesforce+?
You can watch all kinds of helpful, entertaining, and inspiring videos on Salesforce+. One thing our members love is our events. Whether you catch them live or on demand, Salesforce+ gives you a free front-row seat to our biggest global events, like Dreamforce, TDX, Tableau Conference, and Connections. These entertaining business shows star people in roles and industries just like yours, giving you fresh ideas for how to grow your company and do better work. The best part is, it’s all free.
Do I have to pay for Salesforce+?
Salesforce+ is free. Watch any Salesforce+ events or series at no cost. To enjoy unlimited free access to our entire library of videos, become a member by signing up for Salesforce+ with a Trailblazer account. To join us for virtual events like Dreamforce or Connections, you need to create your own Trailblazer account (it’s free!).
What is a Trailblazer account?
Your Trailblazer account gives you access to a unified profile across the Salesforce ecosystem and allows you to manage your settings and access across multiple Salesforce sites.
How do I sign up to register for live and on-demand events, like Dreamforce?
Sign up or log in to your Trailblazer account and complete a few additional details to watch Salesforce+ events live and on demand. We recommend preregistering for all events on Salesforce+ to get your own personalized journey, reminders, recommendations, and more.
Do I need to be a Salesforce customer to watch Salesforce+?
You don’t need to be a Salesforce customer to watch Salesforce+. Our virtual learning is open to everyone.
