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>> A year ago, Agentforce was
>> A year ago, Agentforce was
just a whisper, an idea. Today,
just a whisper, an idea. Today,
it's the fastest growing
it's the fastest growing
product we've ever launched.
product we've ever launched.
>> Let's talk about Salesforce
>> Let's talk about Salesforce
unveiling agents tell us how
unveiling agents tell us how
big companies are using
big companies are using
Agentforce.
Agentforce.
>> It's not just what is
>> It's not just what is
possible, it's what you are
possible, it's what you are
going to make possible. Humans
going to make possible. Humans
with agents driving customer
with agents driving customer
success together. This is what
success together. This is what
AI was meant to be.
AI was meant to be.
>> But this story isn't just
>> But this story isn't just
about scale, it's about
about scale, it's about
something more profound. It's
something more profound. It's
about choice. Is AI going to
about choice. Is AI going to
replace us, or are we going to
replace us, or are we going to
be in command of it? The
be in command of it? The
Salesforce we've made our
Salesforce we've made our
choice. We're building AI that
choice. We're building AI that
elevates people where agents
elevates people where agents
handle the busywork, so we can
handle the busywork, so we can
focus on the work that matters.
focus on the work that matters.
Because AI, when built with
Because AI, when built with
trust, it elevates your people.
trust, it elevates your people.
It helps them move faster,
It helps them move faster,
think deeper and connect more
think deeper and connect more
meaningfully.
meaningfully.
[MUSIC]
[MUSIC]
Agentforce is now handled more
Agentforce is now handled more
than 1.5 million customer
than 1.5 million customer
service requests at Salesforce.
service requests at Salesforce.
Now, that's not just a
Now, that's not just a
milestone. That's over a
milestone. That's over a
million questions answered with
million questions answered with
precision. A million customers
precision. A million customers
understood with empathy and
understood with empathy and
care, and most of all, more
care, and most of all, more
than a million times our people
than a million times our people
were empowered to drive greater
were empowered to drive greater
value in the future of work.
value in the future of work.
It's not artificial. It's
It's not artificial. It's
profoundly human.
profoundly human.
[MUSIC]
[MUSIC]
Around the world, companies are
Around the world, companies are
embracing this new way of
embracing this new way of
working, where people and AI
working, where people and AI
partner together across every
partner together across every
function and every corner of
function and every corner of
the enterprise. And when that
the enterprise. And when that
collaboration works, it doesn't
collaboration works, it doesn't
just change how companies
just change how companies
perform, it changes how people
perform, it changes how people
feel about their time, their
feel about their time, their
impact, their purpose. More
impact, their purpose. More
time to solve, more energy to
time to solve, more energy to
connect, more humanity in the
connect, more humanity in the
loop. This is the Agentic
loop. This is the Agentic
Enterprise, a transformation
Enterprise, a transformation
designed for people powered by
designed for people powered by
AI, built on trust. And here's
AI, built on trust. And here's
the truth AI doesn't feel AI.
the truth AI doesn't feel AI.
It doesn't care. But we do. And
It doesn't care. But we do. And
that's what sets us apart.
that's what sets us apart.
Because the real miracle isn't
Because the real miracle isn't
building machines that think
building machines that think
like us. It's building an
like us. It's building an
enterprise where people can
enterprise where people can
become everything they're
become everything they're
capable of being. So welcome to
capable of being. So welcome to
the Atlantic Enterprise.
the Atlantic Enterprise.
>> Please welcome EVP, Product
>> Please welcome EVP, Product
and Industries, marketing
and Industries, marketing
Salesforce Patrick Stokes.
Salesforce Patrick Stokes.
>> All right, good morning, New
>> All right, good morning, New
York. Let me be the first to
York. Let me be the first to
welcome you to World Tour New
welcome you to World Tour New
York. Thank you all so much for
York. Thank you all so much for
being here with us. Whether
being here with us. Whether
this is your first event with
this is your first event with
Salesforce or if you're like me,
Salesforce or if you're like me,
your thousandth event with
your thousandth event with
Salesforce, whether you're from
Salesforce, whether you're from
right here in the city, upstate,
right here in the city, upstate,
way upstate Connecticut, new
way upstate Connecticut, new
Jersey, Pennsylvania, or, God
Jersey, Pennsylvania, or, God
forbid, Boston, thank you all
forbid, Boston, thank you all
for being here. So don't get
for being here. So don't get
some boos. Come on, New Yorkers
some boos. Come on, New Yorkers
got a cheer. We appreciate your
got a cheer. We appreciate your
time here today and we don't
time here today and we don't
take it for granted now we have
take it for granted now we have
a big job to do. Today. We are
a big job to do. Today. We are
going to answer what we think.
going to answer what we think.
What I think is the most
What I think is the most
important question that all of
important question that all of
us are facing in our careers
us are facing in our careers
right now, maybe the most
right now, maybe the most
important one that we'll ever
important one that we'll ever
face in our careers. And that's
face in our careers. And that's
how do we leverage the power,
how do we leverage the power,
the potential of a gigantic AI
the potential of a gigantic AI
that to scale and to grow our
that to scale and to grow our
businesses in ways that we
businesses in ways that we
never thought possible. Now,
never thought possible. Now,
this is going to take us a
this is going to take us a
minute or two to do. In fact,
minute or two to do. In fact,
it's going to take us about 55
it's going to take us about 55
minutes to do. But the good
minutes to do. But the good
news is, I have brought the
news is, I have brought the
world's best collection of
world's best collection of
speakers and presenters to help
speakers and presenters to help
us do that. So we're going to
us do that. So we're going to
have a pretty good time. Now.
have a pretty good time. Now.
Of course, before we do
Of course, before we do
anything, we have to start by
anything, we have to start by
thanking you. Thank you to our
thanking you. Thank you to our
amazing customers, to our
amazing customers, to our
partners, to all of our
partners, to all of our
employees that help put events
employees that help put events
like this on. We don't take
like this on. We don't take
your time for granted. We
your time for granted. We
appreciate you being here. It's
appreciate you being here. It's
been an amazing journey with
been an amazing journey with
all of you, but also a special
all of you, but also a special
thank as we just saw to our
thank as we just saw to our
amazing community, our MVP's,
amazing community, our MVP's,
our Trailblazers, our Agent
our Trailblazers, our Agent
Blazers. Drew, congratulations.
Blazers. Drew, congratulations.
That's a long time coming as a
That's a long time coming as a
New Yorker. It's awesome to see
New Yorker. It's awesome to see
you get that. Also, welcome to
you get that. Also, welcome to
any of our new Informatica team
any of our new Informatica team
that we have here with us for
that we have here with us for
the first time today. Welcome,
the first time today. Welcome,
Informatica.
Informatica.
[APPLAUSE]
[APPLAUSE]
We're going to hear more from
We're going to hear more from
them in just a little bit. But
them in just a little bit. But
I have one more person that I
I have one more person that I
want to thank. Today, December
want to thank. Today, December
10th is my 15th year
10th is my 15th year
anniversary at Salesforce. It
anniversary at Salesforce. It
actually is, and I've been
actually is, and I've been
doing this for 15 years, and
doing this for 15 years, and
this person has only ever
this person has only ever
watched me online and never
watched me online and never
come and see me. And that's my
come and see me. And that's my
dad and he's right over there.
dad and he's right over there.
So thank you very much to my
So thank you very much to my
dad for being here.
dad for being here.
[APPLAUSE]
[APPLAUSE]
Now. My dad taught me some
Now. My dad taught me some
values and hopefully you all
values and hopefully you all
learned some values from your
learned some values from your
parents. Hopefully you were
parents. Hopefully you were
lucky enough to do that. And at
lucky enough to do that. And at
Salesforce, we always start by
Salesforce, we always start by
reflecting on our values, our
reflecting on our values, our
values of trust and customer
values of trust and customer
success, innovation, equality
success, innovation, equality
and sustainability. These are
and sustainability. These are
values that aren't just words
values that aren't just words
on a plaque. They're built into
on a plaque. They're built into
the very foundation of our
the very foundation of our
product. They're built into the
product. They're built into the
foundation of our community and
foundation of our community and
how we work with all of you as
how we work with all of you as
customers. And we think about
customers. And we think about
these values when we start
these values when we start
anything. What these values
anything. What these values
have taught us is this really
have taught us is this really
interesting idea, this belief
interesting idea, this belief
that business can actually be
that business can actually be
the greatest platform for
the greatest platform for
change. And this has been built
change. And this has been built
in since the very beginning,
in since the very beginning,
this thing that we call the 111
this thing that we call the 111
model, the idea that we would
model, the idea that we would
give back Salesforce would give
give back Salesforce would give
back 1% of its time, 1% of its
back 1% of its time, 1% of its
equity and 1% of its products
equity and 1% of its products
back into the community. And in
back into the community. And in
that time, over the last 26
that time, over the last 26
years, we have raised almost
years, we have raised almost
$871 million, million dollars
$871 million, million dollars
for philanthropy and done over
for philanthropy and done over
10,000,000 hours of volunteer
10,000,000 hours of volunteer
hours collectively, which is
hours collectively, which is
pretty incredible. In fact,
pretty incredible. In fact,
right here in New York today, I
right here in New York today, I
am told there are about 100
am told there are about 100
nonprofit organizations
nonprofit organizations
represented right here with us
represented right here with us
today. If you are from a
today. If you are from a
nonprofit, could you just stand
nonprofit, could you just stand
and be recognized for a moment?
and be recognized for a moment?
There's some.
There's some.
[APPLAUSE]
[APPLAUSE]
There we go. Thank you guys.
There we go. Thank you guys.
[APPLAUSE]
[APPLAUSE]
We appreciate you being on this
We appreciate you being on this
journey with us. Now what this
journey with us. Now what this
is what this has shown us is
is what this has shown us is
that we can do well as an
that we can do well as an
organization while doing good
organization while doing good
at the same time. And we're, of
at the same time. And we're, of
course, incredibly proud of our
course, incredibly proud of our
growth made possible by all of
growth made possible by all of
you, our customers and partners.
you, our customers and partners.
We're guiding for FY 30 to 60
We're guiding for FY 30 to 60
billion in annual revenue,
billion in annual revenue,
which is just an incredible
which is just an incredible
number. I can't believe it. But
number. I can't believe it. But
what we're more excited about
what we're more excited about
is being recognized as one of
is being recognized as one of
the most innovative companies,
the most innovative companies,
one of the top companies that
one of the top companies that
care. And we couldn't have done
care. And we couldn't have done
any of this without all of you.
any of this without all of you.
Now, speaking of all of you,
Now, speaking of all of you,
some of you are in your kind of
some of you are in your kind of
Super Bowl moment. At the
Super Bowl moment. At the
moment, it's the holiday season.
moment, it's the holiday season.
If you're a retailer,
If you're a retailer,
Salesforce is having an
Salesforce is having an
incredible impact. Just in the
incredible impact. Just in the
last few weeks with Black
last few weeks with Black
Friday and Cyber Monday, we did
Friday and Cyber Monday, we did
over 56 billion outbound
over 56 billion outbound
marketing messages. We have
marketing messages. We have
done over 4.2 billion service
done over 4.2 billion service
interactions with Agentforce
interactions with Agentforce
and one that I'm so excited
and one that I'm so excited
about. 68 billion AI powered
about. 68 billion AI powered
recommendations. And best of
recommendations. And best of
all, we did all of this with
all, we did all of this with
100% uptime. Not one blip, not
100% uptime. Not one blip, not
99.999 whatever, 100% uptime.
99.999 whatever, 100% uptime.
Now, this has been this has
Now, this has been this has
been a pretty amazing journey.
been a pretty amazing journey.
And through all of it, through
And through all of it, through
all of these 26 years, we have
all of these 26 years, we have
always had the same mission,
always had the same mission,
the exact same vision. It's a
the exact same vision. It's a
durable vision. It doesn't
durable vision. It doesn't
change the world around us
change the world around us
changes, but this doesn't. Our
changes, but this doesn't. Our
mission is to help you, our
mission is to help you, our
customers, connect with your
customers, connect with your
customers in a whole new way.
customers in a whole new way.
And that really started 26
And that really started 26
years ago, when Mark and Parker
years ago, when Mark and Parker
were in a small apartment in
were in a small apartment in
San Francisco, and they were
San Francisco, and they were
looking around at the world and
looking around at the world and
seeing, hey, look at all these
seeing, hey, look at all these
people that are now starting to
people that are now starting to
shop online. They're going to
shop online. They're going to
Amazon, they're going to eBay.
Amazon, they're going to eBay.
This is totally different. It
This is totally different. It
looks so easy and so much fun.
looks so easy and so much fun.
Why can't our business software
Why can't our business software
be just as easy as Amazon? And
be just as easy as Amazon? And
that's where we started
that's where we started
Salesforce and started
Salesforce and started
pioneering the cloud model. And
pioneering the cloud model. And
over the last 26 years, we have
over the last 26 years, we have
built a legacy of innovation.
built a legacy of innovation.
We helped bring you into the
We helped bring you into the
cloud. We helped bring you into
cloud. We helped bring you into
mobile, into social, and into
mobile, into social, and into
the early phases of AI. But
the early phases of AI. But
there's a new phase of AI right
there's a new phase of AI right
around the corner right here
around the corner right here
today. And of course, that is
today. And of course, that is
Agentic AI. And Agentic AI is
Agentic AI. And Agentic AI is
an incredible technology. Of
an incredible technology. Of
course, it's changing the very
course, it's changing the very
way that we build all of our
way that we build all of our
software that all of you will
software that all of you will
think about your software. But
think about your software. But
it's much, much more than a
it's much, much more than a
technology. It's a revolution
technology. It's a revolution
because Agentic AI is giving us
because Agentic AI is giving us
the ability not just to change
the ability not just to change
our software, but to change the
our software, but to change the
very way that we work. It's a
very way that we work. It's a
revolution. It's this idea that
revolution. It's this idea that
now we can have intelligent,
now we can have intelligent,
trusted AI agents augmenting
trusted AI agents augmenting
every one of our humans in our
every one of our humans in our
organization, but also being
organization, but also being
out there and actually
out there and actually
performing tasks and helping us
performing tasks and helping us
scale and grow in ways that
scale and grow in ways that
we've never been able to before.
we've never been able to before.
But there's something a little
But there's something a little
bit weird going on. There's
bit weird going on. There's
this sense, this idea that it's
this sense, this idea that it's
just a little bit in front of
just a little bit in front of
us. We just can't quite reach
us. We just can't quite reach
out and touch it. It's like
out and touch it. It's like
there's this divide. There are
there's this divide. There are
problems that we have to solve
problems that we have to solve
in order to leverage this new
in order to leverage this new
technology. In our day to day
technology. In our day to day
business. I talk to customers
business. I talk to customers
every day and they're all
every day and they're all
struggling with this. They're
struggling with this. They're
struggling with getting their
struggling with getting their
data in good shape. They're
data in good shape. They're
struggling with building their
struggling with building their
own platforms. So many
own platforms. So many
customers are trying to DIY
customers are trying to DIY
this themselves. In fact, it
this themselves. In fact, it
feels a lot like 2010 when
feels a lot like 2010 when
everybody was enamored with the
everybody was enamored with the
hyperscalers, with Amazon and
hyperscalers, with Amazon and
the savings they could get from
the savings they could get from
that. But rather than just
that. But rather than just
using it, they tried to build
using it, they tried to build
it themselves. And now here we
it themselves. And now here we
are, ten, 15 years later and
are, ten, 15 years later and
everybody's on the hyperscalers.
everybody's on the hyperscalers.
We feel the same way here. What
We feel the same way here. What
if we could build a platform?
if we could build a platform?
What if we could solve all of
What if we could solve all of
these problems with you? Well,
these problems with you? Well,
if we could do that, we have an
if we could do that, we have an
incredible opportunity. In fact,
incredible opportunity. In fact,
we've given this opportunity a
we've given this opportunity a
name. We call it the Agentic
name. We call it the Agentic
Enterprise. It's this idea of
Enterprise. It's this idea of
humans and agents working
humans and agents working
together to drive customer
together to drive customer
success, to drive employee
success, to drive employee
success, and to find new ways
success, and to find new ways
to scale and grow your
to scale and grow your
businesses that you've never
businesses that you've never
been able to do before. Now,
been able to do before. Now,
Salesforce itself is an Agentic
Salesforce itself is an Agentic
Enterprise, and we took a very
Enterprise, and we took a very
deliberate take on this when we
deliberate take on this when we
started this process two years
started this process two years
ago, Mark said, hey, if we're
ago, Mark said, hey, if we're
going to do this, if we're
going to do this, if we're
going to change the whole
going to change the whole
company, if we are going to
company, if we are going to
become an Agentic Enterprise
become an Agentic Enterprise
and drive Agentic AI into every
and drive Agentic AI into every
workflow, into every part of
workflow, into every part of
our business, we need to do it
our business, we need to do it
ourselves. We can't just send
ourselves. We can't just send
our customers out on that
our customers out on that
journey. We have to prove that
journey. We have to prove that
this works ourselves. And so we
this works ourselves. And so we
started doing it inside. And
started doing it inside. And
today we're doing over 100
today we're doing over 100
million, or we have saved $100
million, or we have saved $100
million annually in our
million annually in our
customer service center. We are
customer service center. We are
picking up leads off the ground
picking up leads off the ground
that we would have not been
that we would have not been
able to respond to in the past,
able to respond to in the past,
because we didn't have enough
because we didn't have enough
capacity, we were picking them
capacity, we were picking them
up off the ground, qualifying
up off the ground, qualifying
them and turning it into new
them and turning it into new
business all through the power
business all through the power
of Agentforce. And we're not
of Agentforce. And we're not
the only ones that are doing
the only ones that are doing
this today. In just about a
this today. In just about a
year and a half since we
year and a half since we
launched Agentforce, 12,000
launched Agentforce, 12,000
customers have now joined us on
customers have now joined us on
this journey to become an
this journey to become an
Agentic Enterprise themselves.
Agentic Enterprise themselves.
Incredible customers like RBC
Incredible customers like RBC
Wealth Management. They have
Wealth Management. They have
these wealth managers that have
these wealth managers that have
to prep for calls with their
to prep for calls with their
clients. They've taken that
clients. They've taken that
prep time from three hours down
prep time from three hours down
to just about a minute, so
to just about a minute, so
they're able to talk to more
they're able to talk to more
clients than they've ever been
clients than they've ever been
able to, or Pandora, who's
able to, or Pandora, who's
handling over 60% of their
handling over 60% of their
service cases with Agentforce,
service cases with Agentforce,
is even working for nonprofits
is even working for nonprofits
like America on Tech. It's
like America on Tech. It's
available for everybody now,
available for everybody now,
we've learned quite a bit from
we've learned quite a bit from
working with these 12,000
working with these 12,000
customers, and we've since the
customers, and we've since the
first release of Agentforce,
first release of Agentforce,
released four more releases,
released four more releases,
each one getting a little bit
each one getting a little bit
easier to use, a little bit
easier to use, a little bit
smarter, a little bit more
smarter, a little bit more
integrated, and most of all, a
integrated, and most of all, a
little bit more trusted and
little bit more trusted and
accurate. Now, when these all
accurate. Now, when these all
when these releases come
when these releases come
together, it brings us to
together, it brings us to
something truly new, an
something truly new, an
entirely new way to use
entirely new way to use
Salesforce. Just like our own
Salesforce. Just like our own
mission and vision states,
mission and vision states,
right? A new way to connect
right? A new way to connect
with your customer. This isn't
with your customer. This isn't
your old AI, CRM, or CRM
your old AI, CRM, or CRM
product, which you've come to
product, which you've come to
know us as. This is so much
know us as. This is so much
more. We call it Agentforce 360.
more. We call it Agentforce 360.
It's this idea that you can use
It's this idea that you can use
these agents, intelligent
these agents, intelligent
agents, to augment and change
agents, to augment and change
transform every one of your
transform every one of your
customer experiences, like
customer experiences, like
those shopping experiences we
those shopping experiences we
saw a moment ago during Cyber
saw a moment ago during Cyber
Week. Or change all of your
Week. Or change all of your
employee experiences, right?
employee experiences, right?
You can change your HR
You can change your HR
experiences, your IT
experiences, your IT
experiences. But even newer,
experiences. But even newer,
what if we could use Agentforce
what if we could use Agentforce
to change your day to day
to change your day to day
operations? Things like think
operations? Things like think
about your supply chain. How
about your supply chain. How
much time does it take to
much time does it take to
onboard a new supplier? Every
onboard a new supplier? Every
time your supply chain changes
time your supply chain changes
a little bit? Now you can do
a little bit? Now you can do
that with Agentforce faster
that with Agentforce faster
than ever before. Now how does
than ever before. Now how does
this all work? Right. We said
this all work? Right. We said
that that the potential is
that that the potential is
there, but how do we reach out
there, but how do we reach out
and touch it? How do we
and touch it? How do we
actually make it all possible
actually make it all possible
to do this? Well, it starts
to do this? Well, it starts
with four layers. There are
with four layers. There are
four layers that we need to
four layers that we need to
bring together to make this all
bring together to make this all
work. And of course the first
work. And of course the first
is your data layer with Data
is your data layer with Data
360, Informatica and Mulesoft.
360, Informatica and Mulesoft.
We are taking all of your
We are taking all of your
enterprise data and we are
enterprise data and we are
giving it meaning. We are
giving it meaning. We are
giving it meaning so that the
giving it meaning so that the
AI can understand what all that
AI can understand what all that
data is, where it is, how it
data is, where it is, how it
got there and can it be trusted.
got there and can it be trusted.
And with Mulesoft, we're
And with Mulesoft, we're
turning all of the events that
turning all of the events that
are happening across all of
are happening across all of
your systems into signals.
your systems into signals.
Signals for the agents to
Signals for the agents to
respond to, to trigger new
respond to, to trigger new
actions and with with our
actions and with with our
customer data platform and Data
customer data platform and Data
360, we are bringing that all
360, we are bringing that all
together into one unified data
together into one unified data
context engine for your AI. Now
context engine for your AI. Now
on top of that is your apps
on top of that is your apps
layer. Now, why are the apps so
layer. Now, why are the apps so
important? Well, the apps are
important? Well, the apps are
important because we have 20,
important because we have 20,
maybe 25 years of our business
maybe 25 years of our business
processes, of our workflows
processes, of our workflows
deeply encoded into these apps,
deeply encoded into these apps,
right? No matter what industry
right? No matter what industry
you are, whether what function
you are, whether what function
you're working on, sales or
you're working on, sales or
service or marketing, all of
service or marketing, all of
that is encoded into these apps.
that is encoded into these apps.
And so if we could make those
And so if we could make those
workflows, those APIs available
workflows, those APIs available
to the agents, they would be
to the agents, they would be
more powerful than ever. Which
more powerful than ever. Which
of course brings us to our
of course brings us to our
agent layer. This is where you
agent layer. This is where you
build and design your agents,
build and design your agents,
but it's also where you connect
but it's also where you connect
all of those workflows. So
all of those workflows. So
you're never, ever starting
you're never, ever starting
from scratch. And of course,
from scratch. And of course,
you can orchestrate all of that
you can orchestrate all of that
into super agents where you
into super agents where you
have specialized agents that do
have specialized agents that do
one job, but super agents that
one job, but super agents that
actually interface with your
actually interface with your
customers and employees. Now,
customers and employees. Now,
Agentforce 360 is the only
Agentforce 360 is the only
platform that brings all four
platform that brings all four
of these layers together, and
of these layers together, and
it's exactly why Futurum calls
it's exactly why Futurum calls
it the the the, the most
it the the the, the most
complete Agentic platform. And
complete Agentic platform. And
it's also because I forgot the
it's also because I forgot the
fourth layer, which is
fourth layer, which is
experiences. When you go to
experiences. When you go to
deploy these agents, you want
deploy these agents, you want
to be able to deploy them
to be able to deploy them
anywhere. You want to be able
anywhere. You want to be able
to deploy them where your
to deploy them where your
customers are, maybe on your
customers are, maybe on your
one 800 number on your website,
one 800 number on your website,
or maybe now right inside of
or maybe now right inside of
ChatGPT, but you also need to
ChatGPT, but you also need to
deploy them inside of Slack
deploy them inside of Slack
where your employees are now.
where your employees are now.
This comes together in Futurum
This comes together in Futurum
calls this the most complete
calls this the most complete
the leading Agentic platform.
the leading Agentic platform.
It's these four layers that
It's these four layers that
gives you these incredible
gives you these incredible
benefits like accuracy, because
benefits like accuracy, because
your agents are grounded in all
your agents are grounded in all
of your enterprise data, not
of your enterprise data, not
just the data, but the meaning
just the data, but the meaning
behind the data. They're going
behind the data. They're going
to be more accurate and
to be more accurate and
transparency. You always know
transparency. You always know
what your agents are doing. We
what your agents are doing. We
open it all up the way it
open it all up the way it
thinks, the way it reasons, all
thinks, the way it reasons, all
of that information is
of that information is
available to you. So whether
available to you. So whether
it's going well or going bad,
it's going well or going bad,
you have exactly what you need
you have exactly what you need
to diagnose or to scale. And
to diagnose or to scale. And
then finally, time to value.
then finally, time to value.
Like I said, when all of these
Like I said, when all of these
apps and agents come together,
apps and agents come together,
you're never starting from
you're never starting from
scratch. With Agentforce,
scratch. With Agentforce,
you're able to build and get up
you're able to build and get up
and running faster than ever.
and running faster than ever.
And a big part of the reason
And a big part of the reason
why you're able to do that is
why you're able to do that is
because of the 20 years of
because of the 20 years of
industry specialization that
industry specialization that
we've built on top. It turns
we've built on top. It turns
out the way we sell in
out the way we sell in
manufacturing is different than
manufacturing is different than
the way we sell in financial
the way we sell in financial
services. That specialization
services. That specialization
is never been more important
is never been more important
when we're building these
when we're building these
agents. Okay, now we're going
agents. Okay, now we're going
to bring this to life for you.
to bring this to life for you.
But before we do that, I want
But before we do that, I want
to spend just an extra minute
to spend just an extra minute
or two talking about that data
or two talking about that data
layer, because we are
layer, because we are
incredibly fortunate. Today,
incredibly fortunate. Today,
we're actually joined by the
we're actually joined by the
chief product officer of
chief product officer of
Informatica is here with us for
Informatica is here with us for
the first time today. Krish
the first time today. Krish
Vitaldevara Chris welcome man.
Vitaldevara Chris welcome man.
>> Oh thank you Patrick.
>> Oh thank you Patrick.
>> Great to see you.
>> Great to see you.
>> Yeah it's actually great for
>> Yeah it's actually great for
me and the Informatica team to
me and the Informatica team to
be here with all of you in New
be here with all of you in New
York.
York.
>> Awesome. So you know we
>> Awesome. So you know we
talked about data but we're
talked about data but we're
kind of using some new words.
kind of using some new words.
Now. We're talking about it as
Now. We're talking about it as
context. We're talking about it
context. We're talking about it
as meaning and understanding.
as meaning and understanding.
Right. And I think a company
Right. And I think a company
like Informatica has never been
like Informatica has never been
more relevant in this movement.
more relevant in this movement.
How do you think about that?
How do you think about that?
How do you think about it
How do you think about it
coming together with Salesforce?
coming together with Salesforce?
>> Yeah, I think for us the
>> Yeah, I think for us the
goal is very simple. Every
goal is very simple. Every
system, every workflow, every
system, every workflow, every
AI agent, we want it all to
AI agent, we want it all to
operate with the same shared
operate with the same shared
systemic understanding. That's
systemic understanding. That's
what we call trusted context,
what we call trusted context,
right? So that's the magic we
right? So that's the magic we
want to deliver to all the
want to deliver to all the
customers. And when you use
customers. And when you use
trusted context as a magic
trusted context as a magic
Agentforce can be confident
Agentforce can be confident
that it's always operating with
that it's always operating with
clean, trusted, you know,
clean, trusted, you know,
contextual data that's required
contextual data that's required
to drive precise outcomes.
to drive precise outcomes.
>> Absolutely. Do you think you
>> Absolutely. Do you think you
could show it to us?
could show it to us?
>> Yeah, we'll show it together
>> Yeah, we'll show it together
a little bit. So if you look at
a little bit. So if you look at
an average enterprise, it has
an average enterprise, it has
thousands of systems and
thousands of systems and
applications. The list, as you
applications. The list, as you
can see, goes far beyond
can see, goes far beyond
Salesforce. Right. All of you
Salesforce. Right. All of you
have data on Databricks,
have data on Databricks,
snowflake, BigQuery. I'm pretty
snowflake, BigQuery. I'm pretty
sure any data platform that you
sure any data platform that you
can.
can.
>> Name people use other things
>> Name people use other things
in Salesforce. Absolutely
in Salesforce. Absolutely
amazing.
amazing.
[LAUGHTER]
[LAUGHTER]
>> And that's really where we
>> And that's really where we
come in. Right? So we bring
come in. Right? So we bring
that power together. So
that power together. So
Informatica manages the
Informatica manages the
metadata of all these systems
metadata of all these systems
and applications with our data
and applications with our data
catalog. So the data catalog.
catalog. So the data catalog.
Think of it as a unified map or
Think of it as a unified map or
a metadata system of record
a metadata system of record
that tells you everything you
that tells you everything you
need to know about your data
need to know about your data
the data lineage, the data
the data lineage, the data
quality, how it's connected,
quality, how it's connected,
where it flows and how it's
where it flows and how it's
used. So Salesforce has been
used. So Salesforce has been
known for its customer 360 view.
known for its customer 360 view.
What we do with Informatica is
What we do with Informatica is
we enable you to give the same
we enable you to give the same
360 view for other entities in
360 view for other entities in
the enterprise, right. These
the enterprise, right. These
are also important like product,
are also important like product,
supplier, reference, finance
supplier, reference, finance
and more. But this data as you
and more. But this data as you
can see is in variety of
can see is in variety of
systems, data lakes, warehouses.
systems, data lakes, warehouses.
And once you do that there is
And once you do that there is
data duplication and multitude
data duplication and multitude
of formats that you have to
of formats that you have to
deal with. So a master data
deal with. So a master data
management is how you bring it
management is how you bring it
all together to show which
all together to show which
value from which system can be
value from which system can be
trusted, so that every agent
trusted, so that every agent
and human is operating with the
and human is operating with the
right context. And, you know,
right context. And, you know,
for me, I would like to close
for me, I would like to close
it by saying that Informatica
it by saying that Informatica
system of record combined with
system of record combined with
Salesforce system of activation
Salesforce system of activation
is what creates that magic,
is what creates that magic,
that trusted context that every
that trusted context that every
Agentic Enterprise needs.
Agentic Enterprise needs.
>> Amazing. We feel the same
>> Amazing. We feel the same
way. Chris, thank you so much.
way. Chris, thank you so much.
Thank you for joining us.
Thank you for joining us.
Welcome to the Informatica team
Welcome to the Informatica team
okay. So we're going to bring
okay. So we're going to bring
this all to life. And we're
this all to life. And we're
going to do it the way we
going to do it the way we
always do it at Salesforce. And
always do it at Salesforce. And
that is through the lens of our
that is through the lens of our
amazing customers. And so we're
amazing customers. And so we're
going to start sorry I hit the
going to start sorry I hit the
next slide. That's my fault.
next slide. That's my fault.
But it didn't change. That's
But it didn't change. That's
good. We're going to start with
good. We're going to start with
Williams-Sonoma. And we're
Williams-Sonoma. And we're
going to do that with one of
going to do that with one of
the very best. Of course,
the very best. Of course,
Sanjna Parulekar.
Sanjna Parulekar.
>> All right. Thank you,
>> All right. Thank you,
Patrick. Williams-Sonoma is an
Patrick. Williams-Sonoma is an
iconic brand, and they want to
iconic brand, and they want to
bring the joy of cooking and
bring the joy of cooking and
hosting in your home to every
hosting in your home to every
single customer worldwide. So
single customer worldwide. So
it's no surprise that when they
it's no surprise that when they
wanted to build their very
wanted to build their very
first AI agent, they wanted it
first AI agent, they wanted it
to embody those same qualities.
to embody those same qualities.
And in just 28 days, they were
And in just 28 days, they were
able to deploy Olive, their AI
able to deploy Olive, their AI
sous chef agent that is now
sous chef agent that is now
resolving over 60% of the cases
resolving over 60% of the cases
that are coming in through
that are coming in through
their website. And at the
their website. And at the
center of their transformation
center of their transformation
is Agentforce Service. Now,
is Agentforce Service. Now,
this is service cloud
this is service cloud
completely reimagined with
completely reimagined with
Agentforce at the center. Now,
Agentforce at the center. Now,
every single service rep at
every single service rep at
Williams-Sonoma has the
Williams-Sonoma has the
assistance of an agent so they
assistance of an agent so they
can provide top tier service.
can provide top tier service.
And underneath all of this, of
And underneath all of this, of
course, is a powerful platform,
course, is a powerful platform,
our Agentforce 360 platform,
our Agentforce 360 platform,
which has some exciting new
which has some exciting new
updates that I'm going to show
updates that I'm going to show
you today. And it all starts
you today. And it all starts
with our Agentforce Builder.
with our Agentforce Builder.
Agentforce Builder has gotten a
Agentforce Builder has gotten a
huge makeover over the last few
huge makeover over the last few
months, and now you can build
months, and now you can build
these agents with natural
these agents with natural
language easier than ever
language easier than ever
before. But we've heard your
before. But we've heard your
feedback and time and time
feedback and time and time
again, you tell us that
again, you tell us that
sometimes Llms and AI agents
sometimes Llms and AI agents
just do not perform in a
just do not perform in a
predictable way that you can
predictable way that you can
accept for the customer
accept for the customer
experience, which is why you
experience, which is why you
can now create these agents
can now create these agents
with Agent Script. It turns
with Agent Script. It turns
those natural language
those natural language
instructions into deterministic
instructions into deterministic
code, so you now can provide
code, so you now can provide
that reliable and predictable
that reliable and predictable
customer experience every
customer experience every
single time. So you've built
single time. So you've built
your agent and now what? Right.
your agent and now what? Right.
How do you make it truly speak
How do you make it truly speak
the language of your customer?
the language of your customer?
That's where the latest
That's where the latest
innovations in Data 360 comes
innovations in Data 360 comes
in. With the new Intelligent
in. With the new Intelligent
Context, you can now bring in
Context, you can now bring in
any unstructured data your PDFs,
any unstructured data your PDFs,
your product manuals, images,
your product manuals, images,
anything under the sun. And now
anything under the sun. And now
your agents have all of the
your agents have all of the
context and deep understanding
context and deep understanding
so they can have more accurate
so they can have more accurate
responses for your customers.
responses for your customers.
Now, last but certainly not
Now, last but certainly not
least, Agentforce can now speak
least, Agentforce can now speak
Agentforce Voice is now here,
Agentforce Voice is now here,
so you can provide 24 over
so you can provide 24 over
seven service for all of your
seven service for all of your
customers on your most popular
customers on your most popular
channel, which is voice. Now,
channel, which is voice. Now,
all of this really comes to
all of this really comes to
life in a live demo. So Kristen
life in a live demo. So Kristen
and Abby, let's take it away.
and Abby, let's take it away.
All right. This is the home
All right. This is the home
page of Williams-Sonoma, and
page of Williams-Sonoma, and
their AI sous chef agent is
their AI sous chef agent is
here on the bottom right hand
here on the bottom right hand
corner. And by the way, this is
corner. And by the way, this is
live. You can all try this for
live. You can all try this for
yourself today if you'd like to.
yourself today if you'd like to.
And what I love about this
And what I love about this
agent is that it's not just
agent is that it's not just
transactional. It's not just
transactional. It's not just
helping me buy a product, it's
helping me buy a product, it's
helping me make my event a
helping me make my event a
success. So let's say I want to
success. So let's say I want to
plan a fall dinner party, and I
plan a fall dinner party, and I
want to do something a little
want to do something a little
bit special here. All of is
bit special here. All of is
going to think about it and
going to think about it and
provide all of these recipe
provide all of these recipe
recommendations that are just
recommendations that are just
for me. Now, I know what you're
for me. Now, I know what you're
thinking. There are probably
thinking. There are probably
hundreds of ways that you all
hundreds of ways that you all
find recipe recommendations
find recipe recommendations
online. It's a pretty easy use
online. It's a pretty easy use
case, but these aren't just any
case, but these aren't just any
recipe recommendations. These
recipe recommendations. These
are recommendations based off
are recommendations based off
of a product that I recently
of a product that I recently
bought on their Black Friday
bought on their Black Friday
sale. I recently bought a new
sale. I recently bought a new
Dutch oven, so these are going
Dutch oven, so these are going
to be perfect for me to cook in
to be perfect for me to cook in
my home. Now, I'm not much of a
my home. Now, I'm not much of a
cook myself, so I need a little
cook myself, so I need a little
bit of help with this recipe.
bit of help with this recipe.
So I'm going to ask a follow up
So I'm going to ask a follow up
question of a tutorial. And
question of a tutorial. And
again the personalization
again the personalization
continues. That context about
continues. That context about
me is persistent with every
me is persistent with every
question that I ask. So this
question that I ask. So this
tutorial is not just for
tutorial is not just for
anybody. It's for me because of
anybody. It's for me because of
the product that I have. And I
the product that I have. And I
even have a helpful
even have a helpful
recommendation here. If we
recommendation here. If we
scroll down of another product
scroll down of another product
that is going to help me
that is going to help me
complete the recipe. Now, this
complete the recipe. Now, this
is an amazing use case if
is an amazing use case if
you're browsing online, but
you're browsing online, but
Williams-sonoma's most popular
Williams-sonoma's most popular
channel is that of voice. And
channel is that of voice. And
so why don't we go ahead and
so why don't we go ahead and
give this a spin and give Olive
give this a spin and give Olive
a call?
a call?
>> I welcome back to
>> I welcome back to
Williams-Sonoma. How can I help
Williams-Sonoma. How can I help
you? Today?
you? Today?
>> I'd like to purchase the pan
>> I'd like to purchase the pan
you recommended.
you recommended.
>> Yes, I see you are referring
>> Yes, I see you are referring
to the copper saucier to pair
to the copper saucier to pair
with your Italian.
with your Italian.
>> Yep, that's the one.
>> Yep, that's the one.
>> That's the one.
>> That's the one.
>> That's the one. Does it come
>> That's the one. Does it come
in? Any other finishes?
in? Any other finishes?
>> It comes in stainless steel.
>> It comes in stainless steel.
You want me to place that order?
You want me to place that order?
>> Yes, please place the order.
>> Yes, please place the order.
>> Done. Your order is
>> Done. Your order is
confirmed and on its way.
confirmed and on its way.
Anything else I can help you
Anything else I can help you
with?
with?
>> Yes. I'd love some help with
>> Yes. I'd love some help with
some tablescape ideas for my
some tablescape ideas for my
party.
party.
>> I can connect you to a
>> I can connect you to a
design specialist. For that.
design specialist. For that.
Please hold. Thank you for
Please hold. Thank you for
calling.
calling.
>> Okay, now I want to call out
>> Okay, now I want to call out
a few important things about
a few important things about
that experience. The first is
that experience. The first is
that it was personalized. It
that it was personalized. It
called me by my nickname sponge.
called me by my nickname sponge.
It knew who I was just by
It knew who I was just by
calling in, which is step
calling in, which is step
number one. Step number two is
number one. Step number two is
I could interrupt it, I promise.
I could interrupt it, I promise.
I'm not that rude in real life,
I'm not that rude in real life,
but I could interrupt that the
but I could interrupt that the
same way I would with a human
same way I would with a human
conversation. And last but
conversation. And last but
certainly not least, it had a
certainly not least, it had a
seamless handoff. When I asked
seamless handoff. When I asked
about design ideas to a service
about design ideas to a service
specialist who now has
specialist who now has
Agentforce Service behind their
Agentforce Service behind their
desk. So they get all of these
desk. So they get all of these
helpful recommendations right
helpful recommendations right
in the flow of work. They have
in the flow of work. They have
the entire context of the
the entire context of the
conversation so they can
conversation so they can
continue on and help me with my
continue on and help me with my
design ideas. Now I want to
design ideas. Now I want to
show you just how powerful this
show you just how powerful this
experience is, because of the
experience is, because of the
speed of which Williams-Sonoma
speed of which Williams-Sonoma
could bring this to life, this
could bring this to life, this
is the brand new Agentforce
is the brand new Agentforce
Builder. And like I said, this
Builder. And like I said, this
is completely new. So let's
is completely new. So let's
learn together just how
learn together just how
powerful this is. This is Olive.
powerful this is. This is Olive.
And right here inside of the
And right here inside of the
builder, I can customize the
builder, I can customize the
way that Olive speaks right
way that Olive speaks right
here in my voice settings. I
here in my voice settings. I
can customize the voice, the
can customize the voice, the
tone, the cadence, anything I
tone, the cadence, anything I
want from writing here. But I
want from writing here. But I
mentioned that the product
mentioned that the product
recommendations are special,
recommendations are special,
and I want to show you how to
and I want to show you how to
really build this agent in a
really build this agent in a
way that is going to work in a
way that is going to work in a
reliable way every single time.
reliable way every single time.
Now, when you see a builder
Now, when you see a builder
like this, there is a really
like this, there is a really
human reaction to build out
human reaction to build out
instructions that look
instructions that look
something like this. Always do
something like this. Always do
this, never do that. Make sure
this, never do that. Make sure
you do this, and that can be
you do this, and that can be
completely confusing to an LLM.
completely confusing to an LLM.
And I know some of us might use
And I know some of us might use
these types of instructions if
these types of instructions if
we're using a consumer AI
we're using a consumer AI
product like ChatGPT. And it's
product like ChatGPT. And it's
kind of funny when it gets it
kind of funny when it gets it
wrong, but it's not funny when
wrong, but it's not funny when
it's your customer experience
it's your customer experience
at hand. And so what we're
at hand. And so what we're
going to do here is we're going
going to do here is we're going
to go ahead and turn this
to go ahead and turn this
natural language instruction
natural language instruction
into deterministic code. We're
into deterministic code. We're
going to turn it into Agent
going to turn it into Agent
Script. And one thing that I
Script. And one thing that I
didn't mention before is that
didn't mention before is that
this new builder experience has
this new builder experience has
an agent built in, so it can
an agent built in, so it can
help you with this entire
help you with this entire
experience. And there we go.
experience. And there we go.
We're going to go ahead and
We're going to go ahead and
transform all of this into
transform all of this into
Agent Script. So now I know
Agent Script. So now I know
that every time a customer is
that every time a customer is
logged in, I'm going to go
logged in, I'm going to go
ahead and deliver a product
ahead and deliver a product
recommendation experience
recommendation experience
that's delightful, that's
that's delightful, that's
seamless, and that's consistent
seamless, and that's consistent
every single time. Now that's
every single time. Now that's
the way that Williams-Sonoma
the way that Williams-Sonoma
has completely transformed
has completely transformed
their business and become an
their business and become an
Agentic Enterprise. And we want
Agentic Enterprise. And we want
to show you more with the story
to show you more with the story
of FedEx Shabani. Take it away.
of FedEx Shabani. Take it away.
>> Thanks. Saj.
>> Thanks. Saj.
[APPLAUSE]
[APPLAUSE]
FedEx is an Agentic Enterprise
FedEx is an Agentic Enterprise
that operates on a global scale.
that operates on a global scale.
But even with small business
But even with small business
customers signing up around the
customers signing up around the
world, they had a challenge.
world, they had a challenge.
Customers signing up is not the
Customers signing up is not the
same as a customer actively
same as a customer actively
shipping. And let's face it,
shipping. And let's face it,
FedEx doesn't make money when a
FedEx doesn't make money when a
customer is signing up. They're
customer is signing up. They're
making money. When a customer
making money. When a customer
is shipping. They had
is shipping. They had
disconnected shipping data from
disconnected shipping data from
marketing data, so it was
marketing data, so it was
really challenging for them to
really challenging for them to
see the complete view of their
see the complete view of their
customers. And that was slowing
customers. And that was slowing
down sales. But with Data 360,
down sales. But with Data 360,
with Intelligent Context and
with Intelligent Context and
with Agentforce, they were able
with Agentforce, they were able
to get a complete view of their
to get a complete view of their
customer. They were able to
customer. They were able to
take those dormant customers
take those dormant customers
and they were able to turn them
and they were able to turn them
into active shippers. They did
into active shippers. They did
this with Data 360. The next
this with Data 360. The next
generation of Data Cloud
generation of Data Cloud
unifying your enterprise data,
unifying your enterprise data,
your customer data, your
your customer data, your
unstructured data through Zero
unstructured data through Zero
copy. And what's more is that
copy. And what's more is that
now Data 360, it stores your
now Data 360, it stores your
Agentforce conversations, your
Agentforce conversations, your
customer's preferences, and
customer's preferences, and
that gives your agents memory.
that gives your agents memory.
One more thing that Data 360
One more thing that Data 360
does, and this is one of my
does, and this is one of my
personal favorites, is data
personal favorites, is data
governance is not an
governance is not an
afterthought. With Data 360.
afterthought. With Data 360.
Your compliance teams are going
Your compliance teams are going
to love this and I'm actually
to love this and I'm actually
an exit auditor, so I love this
an exit auditor, so I love this
is that when you create
is that when you create
compliance policies and
compliance policies and
governance policies, they're
governance policies, they're
applied to all of your data
applied to all of your data
automatically. Now we know that
automatically. Now we know that
agents they need data, but more
agents they need data, but more
than data they need context.
than data they need context.
That's what helps them be
That's what helps them be
intelligent. But in most
intelligent. But in most
enterprises that's actually
enterprises that's actually
very, very difficult. The same
very, very difficult. The same
data, it sits in your lake, it
data, it sits in your lake, it
sits over here in a warehouse.
sits over here in a warehouse.
It sits in a business system.
It sits in a business system.
And how many different formats
And how many different formats
are there for date? And you
are there for date? And you
have to try to reconcile all of
have to try to reconcile all of
this. Well, Informatica it
this. Well, Informatica it
brings cataloging. It brings
brings cataloging. It brings
lineage data lineage. And
lineage data lineage. And
Informatica brings a golden
Informatica brings a golden
record. Now, there's one other
record. Now, there's one other
thing that agents can benefit
thing that agents can benefit
from. Agents rely on signals.
from. Agents rely on signals.
They rely on signals from your
They rely on signals from your
systems. Think of a signal like
systems. Think of a signal like
in the case of FedEx A shipped
in the case of FedEx A shipped
a shipment that's running late
a shipment that's running late
or it's delayed. Well, Mulesoft,
or it's delayed. Well, Mulesoft,
what it does is it connects all
what it does is it connects all
of your systems to be able to
of your systems to be able to
surface all of these
surface all of these
operational signals. And those
operational signals. And those
signals trigger your agents to
signals trigger your agents to
take secure action. And Data
take secure action. And Data
360 will Data 360 it wraps it
360 will Data 360 it wraps it
all around. It unifies your
all around. It unifies your
data, and it brings trusted,
data, and it brings trusted,
governed, and intelligent
governed, and intelligent
context to every single one of
context to every single one of
your agents and your
your agents and your
applications. So let's do a
applications. So let's do a
double click on Data 360
double click on Data 360
specifically through a demo.
specifically through a demo.
And to do that, please welcome
And to do that, please welcome
again Kristin and Abby. Perfect.
again Kristin and Abby. Perfect.
Now, I had shared with you that
Now, I had shared with you that
FedEx had a challenge. They had
FedEx had a challenge. They had
all these dormant customers and
all these dormant customers and
we needed to turn them into
we needed to turn them into
active shippers. Well, we
active shippers. Well, we
solved that problem with Data
solved that problem with Data
360, but they had a new problem.
360, but they had a new problem.
But it was a good problem. The
But it was a good problem. The
problem was they started
problem was they started
getting a lot of questions from
getting a lot of questions from
customers. Now that they were
customers. Now that they were
shipping questions like this
shipping questions like this
one, what's the best way to
one, what's the best way to
ship a 70 pound box of
ship a 70 pound box of
wholesale electronics from
wholesale electronics from
Austin to London? You'd think
Austin to London? You'd think
that's kind of easy. That
that's kind of easy. That
should be a simple question,
should be a simple question,
but the reality is the answer
but the reality is the answer
is very, very complex because
is very, very complex because
it depends on the delivery zone.
it depends on the delivery zone.
It depends on the shipping
It depends on the shipping
services, import export or any
services, import export or any
other nuances that are very
other nuances that are very
specific to that delivery. Well,
specific to that delivery. Well,
as a FedEx seller, what I have
as a FedEx seller, what I have
access to is through slack, I
access to is through slack, I
can access Agentforce. That's
can access Agentforce. That's
how I can answer all of these
how I can answer all of these
questions at scale. So I jump
questions at scale. So I jump
in and I ask Agentforce the
in and I ask Agentforce the
question that the customer has
question that the customer has
asked me. What's the best way
asked me. What's the best way
to ship this box? Now?
to ship this box? Now?
Agentforce provides a response.
Agentforce provides a response.
Excellent, but it's not very
Excellent, but it's not very
helpful because instead of
helpful because instead of
giving me the answer, what
giving me the answer, what
Agentforce is doing is it's
Agentforce is doing is it's
telling me to reference a 200
telling me to reference a 200
page PDF. All right, let's
page PDF. All right, let's
humor it. Let's check out that
humor it. Let's check out that
PDF. It's a good looking PDF,
PDF. It's a good looking PDF,
but when I'm scrolling down I
but when I'm scrolling down I
can see there's a table,
can see there's a table,
there's charts, there's headers,
there's charts, there's headers,
there's footers, there's an
there's footers, there's an
index. There's a lot. Now I can
index. There's a lot. Now I can
process this I can understand
process this I can understand
this because that's a human
this because that's a human
skill. I can understand that
skill. I can understand that
this is a chart. That's a table.
this is a chart. That's a table.
I can see the symbols and I can
I can see the symbols and I can
see the index key. That's easy
see the index key. That's easy
for me to understand. But when
for me to understand. But when
you take a document like this,
you take a document like this,
an unstructured PDF and you
an unstructured PDF and you
process it or upload it the
process it or upload it the
traditional way, you know what
traditional way, you know what
happens, it gets completely
happens, it gets completely
flattened. It turns into raw
flattened. It turns into raw
text and this raw text, it's
text and this raw text, it's
losing all of the meaning.
losing all of the meaning.
Let's find that same line so we
Let's find that same line so we
can see England over here. We
can see England over here. We
see England, we see UK we see D.
see England, we see UK we see D.
What does d mean. We knew
What does d mean. We knew
through the PDF we could see
through the PDF we could see
that D was the zone. We could
that D was the zone. We could
see that the check marks were
see that the check marks were
what were the services that
what were the services that
were available within that zone.
were available within that zone.
But now it's flattened. So it's
But now it's flattened. So it's
very challenging for an agent
very challenging for an agent
to be able to understand this
to be able to understand this
and make meaning and context of
and make meaning and context of
it. Well, this is why we are
it. Well, this is why we are
introducing Intelligent Context
introducing Intelligent Context
Data 360 Intelligent Context
Data 360 Intelligent Context
because now when we take an
because now when we take an
unstructured PDF like this and
unstructured PDF like this and
we upload it, what happens is
we upload it, what happens is
we get intelligent chunks. We
we get intelligent chunks. We
can start to see all of the
can start to see all of the
pieces of that PDF logically
pieces of that PDF logically
parsed out into an index. We
parsed out into an index. We
scroll down, we find that same
scroll down, we find that same
entry. You know what we see? We
entry. You know what we see? We
can see that it is England. We
can see that it is England. We
can see that it's zone D, we
can see that it's zone D, we
can see the export and import
can see the export and import
laws and all of the standards
laws and all of the standards
that apply. This becomes a
that apply. This becomes a
meaningful slice of information
meaningful slice of information
that an agent can use to reason.
that an agent can use to reason.
But before we put this back
But before we put this back
into production let's do a
into production let's do a
quick test. So we're still
quick test. So we're still
within Data 360. We're going to
within Data 360. We're going to
ask Agentforce that question
ask Agentforce that question
one more time. Now that we've
one more time. Now that we've
uploaded this document using
uploaded this document using
Intelligent Context. Look at
Intelligent Context. Look at
that. We get a response. We get
that. We get a response. We get
a response that's accurate and
a response that's accurate and
that's complete. It's not
that's complete. It's not
referencing me to the PDF
referencing me to the PDF
anymore, but it does look like
anymore, but it does look like
Agentforce is being a little
Agentforce is being a little
too generous, because it's also
too generous, because it's also
exposing some internal FedEx
exposing some internal FedEx
employee contact details. The
employee contact details. The
reason why that's happening is
reason why that's happening is
because that PDF, it's not an
because that PDF, it's not an
external document, it's an
external document, it's an
internal document. So that's
internal document. So that's
okay to have internal contact
okay to have internal contact
details for an internal
details for an internal
document. But that's not
document. But that's not
something we accidentally want
something we accidentally want
exposed to a customer. Well,
exposed to a customer. Well,
like I said earlier, the inner
like I said earlier, the inner
auditor in me is geeking out
auditor in me is geeking out
right now because with data
right now because with data
governance it's built in. We
governance it's built in. We
can create a policy right here.
can create a policy right here.
And instead of having to do
And instead of having to do
many keystrokes to be able to
many keystrokes to be able to
configure that policy with
configure that policy with
Agentforce embedded within Data
Agentforce embedded within Data
360, all we do is use natural
360, all we do is use natural
language to describe the policy
language to describe the policy
that we want to create. In this
that we want to create. In this
case, it's a masking policy. We
case, it's a masking policy. We
want to hide that information
want to hide that information
so that it doesn't get exposed
so that it doesn't get exposed
to a customer. Agentforce does
to a customer. Agentforce does
the work for us. We just
the work for us. We just
validate that it's the right
validate that it's the right
policy. We hit activate. Now
policy. We hit activate. Now
that we've got this policy
that we've got this policy
activated, let's jump right
activated, let's jump right
back into production. So as a
back into production. So as a
FedEx seller, I am going to ask
FedEx seller, I am going to ask
that question one more time.
that question one more time.
What's the best way to ship a
What's the best way to ship a
70 pound wholesale electronics
70 pound wholesale electronics
box from Austin to London. And
box from Austin to London. And
this time Agentforce delivers.
this time Agentforce delivers.
The answer is complete, it's
The answer is complete, it's
accurate, and most of all, it's
accurate, and most of all, it's
appropriate. It's not exposing
appropriate. It's not exposing
any sensitive information. And
any sensitive information. And
this is how FedEx has been able
this is how FedEx has been able
to take their seller
to take their seller
productivity and reach it to a
productivity and reach it to a
new level by taking raw data,
new level by taking raw data,
converting that data into
converting that data into
context and context into
context and context into
intelligence. Thank you.
intelligence. Thank you.
[APPLAUSE]
[APPLAUSE]
And tell us one more story
And tell us one more story
about how PepsiCo has become an
about how PepsiCo has become an
Agentic Enterprise. Please help
Agentic Enterprise. Please help
me welcome Taksina Eammano.
me welcome Taksina Eammano.
>> Thanks, Shivani.
>> Thanks, Shivani.
[APPLAUSE]
[APPLAUSE]
All right. Well, PepsiCo, you
All right. Well, PepsiCo, you
know them? They're a food and
know them? They're a food and
beverage giant. In this keynote
beverage giant. In this keynote
alone in the 60 minutes, 40
alone in the 60 minutes, 40
million products will be
million products will be
consumed across the globe.
consumed across the globe.
That's staggering. But what you
That's staggering. But what you
may not realize is that half
may not realize is that half
their sales come from small
their sales come from small
businesses. So with limited
businesses. So with limited
hours in the day and lots of
hours in the day and lots of
demand sellers, they can't
demand sellers, they can't
always keep up. But that
always keep up. But that
problem is over because PepsiCo
problem is over because PepsiCo
they're an Agentic Enterprise
they're an Agentic Enterprise
they're using. And I realized I
they're using. And I realized I
didn't grab a clicker from
didn't grab a clicker from
somebody. Well, someone can
somebody. Well, someone can
click the next slide. Thank you.
click the next slide. Thank you.
[LAUGHTER]
[LAUGHTER]
They're using Agentforce Sales
They're using Agentforce Sales
and field service to augment
and field service to augment
every team. So with Agentforce
every team. So with Agentforce
Sales they're leaving no lead
Sales they're leaving no lead
behind. That means AI agents
behind. That means AI agents
are nurturing qualifying leads
are nurturing qualifying leads
and helping to accelerate that
and helping to accelerate that
deal cycle. They're ensuring
deal cycle. They're ensuring
that those sellers keep the
that those sellers keep the
fridges and those shelves
fridges and those shelves
stocked with Agentforce Field
stocked with Agentforce Field
Service, which is the product
Service, which is the product
that my team builds. We're
that my team builds. We're
helping PepsiCo ensure that
helping PepsiCo ensure that
that expert service gets that
that expert service gets that
fridge up and running and
fridge up and running and
functional, keeping the
functional, keeping the
operations moving. That means
operations moving. That means
that a skilled technician is
that a skilled technician is
out there in the field and
out there in the field and
making that visit very
making that visit very
productive. All right. Do you
productive. All right. Do you
want to go see a demo? Let's go
want to go see a demo? Let's go
take a look. So here this is
take a look. So here this is
going to start on the website.
going to start on the website.
This is where sales and
This is where sales and
marketing comes together.
marketing comes together.
PepsiCo is using this to let
PepsiCo is using this to let
agents help make that one visit
agents help make that one visit
for a retailer, big or small,
for a retailer, big or small,
be able to get instant two way
be able to get instant two way
information and support. That's
information and support. That's
marketing information on
marketing information on
products, sales information all
products, sales information all
in this one place. But you know
in this one place. But you know
what else it can do? It can
what else it can do? It can
even transform a prospect into
even transform a prospect into
a nurtured lead. So here
a nurtured lead. So here
Agentforce is coming up and
Agentforce is coming up and
creating and crafting
creating and crafting
personalized emails. It has all
personalized emails. It has all
of this information that
of this information that
they're gathered from that
they're gathered from that
prospect's intent, and it's
prospect's intent, and it's
giving us product
giving us product
recommendations based on the
recommendations based on the
business size, the region and
business size, the region and
what they are looking for. But
what they are looking for. But
these are not canned templates.
these are not canned templates.
This back and forth, that's an
This back and forth, that's an
AI agent having a conversation
AI agent having a conversation
with a prospect. I want you to
with a prospect. I want you to
think for a minute, what does
think for a minute, what does
that mean for you as an
that mean for you as an
organization where you have an
organization where you have an
AI agent nurturing the funnel
AI agent nurturing the funnel
for the leads that you don't
for the leads that you don't
get to? That's incredibly
get to? That's incredibly
powerful. Okay, so now let's go
powerful. Okay, so now let's go
to the sellers because the
to the sellers because the
sales teams now have a new
sales teams now have a new
workspace. This that you see
workspace. This that you see
here is the sales workspace.
here is the sales workspace.
It's a new action hub. And it's
It's a new action hub. And it's
been reimagined to think about
been reimagined to think about
how sellers and AI agents are
how sellers and AI agents are
working together. They have now
working together. They have now
a lead that's being able to be
a lead that's being able to be
nurtured. Now, you know what it
nurtured. Now, you know what it
was like before a seller would
was like before a seller would
come in and they've got a long
come in and they've got a long
list of leads. They don't know
list of leads. They don't know
who to call or which one to
who to call or which one to
prioritize. Well, the customer
prioritize. Well, the customer
or prospect call them back. Do
or prospect call them back. Do
they need to book a meeting?
they need to book a meeting?
All of that is now transformed
All of that is now transformed
because they have an AI agent
because they have an AI agent
that has actually been
that has actually been
nurturing this lead. They've
nurturing this lead. They've
done the hard yards to get that
done the hard yards to get that
lead going. Being able to book
lead going. Being able to book
meetings, prepare for them, and
meetings, prepare for them, and
using Tableau insights have a
using Tableau insights have a
great view and know exactly
great view and know exactly
what their business needs,
what their business needs,
which deals are going to move
which deals are going to move
faster for sellers on the go.
faster for sellers on the go.
They can get all of that
They can get all of that
meeting prep summarized. And
meeting prep summarized. And
also those same insights and
also those same insights and
the guided support right in the
the guided support right in the
Slack mobile app. This is
Slack mobile app. This is
ensuring that right in the flow
ensuring that right in the flow
of conversation where you're
of conversation where you're
collaborating, it's there and
collaborating, it's there and
you don't miss a beat. This is
you don't miss a beat. This is
the new sales. Now, it's not
the new sales. Now, it's not
just about sales because
just about sales because
PepsiCo's backbone of
PepsiCo's backbone of
operations is their field and
operations is their field and
ensuring that their customers
ensuring that their customers
have great service. So I hear
have great service. So I hear
this from our customers.
this from our customers.
Technicians are going from job
Technicians are going from job
to job. Let's think about this.
to job. Let's think about this.
If the fridge is not
If the fridge is not
operational, they're not
operational, they're not
selling drinks. That retailer
selling drinks. That retailer
needs to drive revenue. So it's
needs to drive revenue. So it's
really important to get a
really important to get a
technician out in the field as
technician out in the field as
fast as possible. The Field
fast as possible. The Field
service mobile app is the
service mobile app is the
lifeline of expertise and this
lifeline of expertise and this
is the pre-work brief. It's a
is the pre-work brief. It's a
crisp summary of the job, the
crisp summary of the job, the
asset that needs to get fixed
asset that needs to get fixed
and any information that they
and any information that they
need. In fact, you can even
need. In fact, you can even
listen to it on the way.
listen to it on the way.
>> The front display Pepsi
>> The front display Pepsi
cooler at Scotty's Deli isn't
cooler at Scotty's Deli isn't
keeping drinks cold.
keeping drinks cold.
>> Thanks, Kristen. You get the
>> Thanks, Kristen. You get the
point. This is what I call
point. This is what I call
productive windshield time. So
productive windshield time. So
stuck in New York traffic. You
stuck in New York traffic. You
know, you can listen on the job.
know, you can listen on the job.
Now, if I encounter an issue
Now, if I encounter an issue
when I'm on site, a technician
when I'm on site, a technician
can turn to Agentforce, and
can turn to Agentforce, and
Agentforce is there to answer
Agentforce is there to answer
questions about to be able to
questions about to be able to
guide them through that
guide them through that
troubleshooting that has the
troubleshooting that has the
knowledge that they have the
knowledge that they have the
unified knowledge that's in
unified knowledge that's in
Data 360 the product manual
Data 360 the product manual
information, the issues from
information, the issues from
past history to be able to
past history to be able to
determine that right fix. And
determine that right fix. And
it's guiding them through that
it's guiding them through that
experience. When the job's done,
experience. When the job's done,
they can upload a picture and
they can upload a picture and
photo to show that this is the
photo to show that this is the
work that's complete and be
work that's complete and be
able to produce that service
able to produce that service
report. But not only that,
report. But not only that,
because Agentforce is actually
because Agentforce is actually
analyze that picture, they're
analyze that picture, they're
seeing that those fridges that
seeing that those fridges that
are stocked, that's actually an
are stocked, that's actually an
upsell opportunity. This is
upsell opportunity. This is
what we mean when sales and
what we mean when sales and
service come together out in
service come together out in
the field. It's making your
the field. It's making your
field operations turned into a
field operations turned into a
revenue engine. That's how
revenue engine. That's how
PepsiCo is becoming an Agentic
PepsiCo is becoming an Agentic
Enterprise. They're elevating
Enterprise. They're elevating
120,000 employees to better
120,000 employees to better
serve their customers using AI
serve their customers using AI
agents. Now, I know you're
agents. Now, I know you're
probably wondering, how do I
probably wondering, how do I
build my Agentic Enterprise?
build my Agentic Enterprise?
Well, to do that, I want you
Well, to do that, I want you
woken up the man who is
woken up the man who is
building all the tools. Take it
building all the tools. Take it
away, Kush.
away, Kush.
>> Right. Thank you.
>> Right. Thank you.
[APPLAUSE]
[APPLAUSE]
Saxena. Now for the last 26
Saxena. Now for the last 26
years, Trailblazers like
years, Trailblazers like
yourself have used the
yourself have used the
Salesforce platform to convert
Salesforce platform to convert
your ideas into applications,
your ideas into applications,
automations, dashboards, and
automations, dashboards, and
now AI agents. But in this
now AI agents. But in this
agentic era, how you transform
agentic era, how you transform
your ideas into actionable
your ideas into actionable
business value is dramatically
business value is dramatically
changing. And today we are
changing. And today we are
going to enable you to embrace
going to enable you to embrace
this change. Introducing
this change. Introducing
Agentforce Vibes Agentforce
Agentforce Vibes Agentforce
Vibes is the fastest, the
Vibes is the fastest, the
easiest way to conversationally
easiest way to conversationally
build prototypes on the
build prototypes on the
Salesforce platform that
Salesforce platform that
accelerate your path to
accelerate your path to
production. Now, since
production. Now, since
launching at Dreamforce, our
launching at Dreamforce, our
developers, our admins, our
developers, our admins, our
MVP's, our architects have been
MVP's, our architects have been
super busy vibing away in the
super busy vibing away in the
last six weeks, over 23 million
last six weeks, over 23 million
lines of agent generated code
lines of agent generated code
has been accepted, verified,
has been accepted, verified,
and checked into production by
and checked into production by
all of you. This is truly
all of you. This is truly
amazing. This is not AI slop.
amazing. This is not AI slop.
This is agent generated code
This is agent generated code
that has been validated,
that has been validated,
accepted and checked into
accepted and checked into
production by humans. Now my
production by humans. Now my
teams and I built Agentforce
teams and I built Agentforce
Vibes from ground up, and we
Vibes from ground up, and we
are super appreciative of all
are super appreciative of all
of the feedback that you have
of the feedback that you have
shared. And I assure you that
shared. And I assure you that
we are actively working on it
we are actively working on it
now. Most vibe coding tools
now. Most vibe coding tools
tend to sit outside of your
tend to sit outside of your
organization. They lack
organization. They lack
business context, and so most
business context, and so most
of them help you create
of them help you create
prototypes that aren't really
prototypes that aren't really
contextual. In fact, they don't
contextual. In fact, they don't
really help. Agentforce Vibes
really help. Agentforce Vibes
is different in a number of
is different in a number of
ways. First and foremost, from
ways. First and foremost, from
an availability point of view,
an availability point of view,
it is available as an IDE
it is available as an IDE
extension, which you can use in
extension, which you can use in
any IDE of your choice. And
any IDE of your choice. And
second, it is available as a
second, it is available as a
fully featured IDE, available
fully featured IDE, available
in every production, sandbox or
in every production, sandbox or
scratch org. Because we know
scratch org. Because we know
some of you work in regulated
some of you work in regulated
industries where third party
industries where third party
use of third party software is
use of third party software is
not permitted. Agentforce Vibes
not permitted. Agentforce Vibes
also understands your business
also understands your business
language. It understands your
language. It understands your
context. It understands your
context. It understands your
metadata, your data, your code
metadata, your data, your code
base, your integrations, your
base, your integrations, your
semantic data models so that it
semantic data models so that it
can actually help you build
can actually help you build
contextual prototypes that
contextual prototypes that
actually truly help you
actually truly help you
accelerate to production. So
accelerate to production. So
because it understands your
because it understands your
context, it speaks your
context, it speaks your
business language. So now let's
business language. So now let's
show you Agentforce Vibes in
show you Agentforce Vibes in
action. So my team and I, we've
action. So my team and I, we've
been tasked to build out a
been tasked to build out a
marketing activation dashboard
marketing activation dashboard
that shows the impact of
that shows the impact of
marketing activations on our
marketing activations on our
sales pipeline. And so we've
sales pipeline. And so we've
been collaborating on this
been collaborating on this
product requirements doc that
product requirements doc that
you see over here. And we've
you see over here. And we've
defined this app as a real time
defined this app as a real time
analytics dashboard. We've
analytics dashboard. We've
defined the various core
defined the various core
metrics. We want to track the
metrics. We want to track the
data sources, the design
data sources, the design
elements basically guidelines
elements basically guidelines
that we should be using when
that we should be using when
building this application. But
building this application. But
instead of writing my first
instead of writing my first
line of code, what I'm going to
line of code, what I'm going to
do is I'm going to provide this
do is I'm going to provide this
PRD to Agentforce. And so here
PRD to Agentforce. And so here
we are in Agentforce the full
we are in Agentforce the full
featured IDE, where on the far
featured IDE, where on the far
left we have our friend
left we have our friend
Agentforce as my coding partner.
Agentforce as my coding partner.
It also comes included with the
It also comes included with the
Salesforce DX MCP server. And
Salesforce DX MCP server. And
what this does is that it has a
what this does is that it has a
set of tools which enables
set of tools which enables
Agentforce to truly connect
Agentforce to truly connect
effectively to your org to
effectively to your org to
understand the business context.
understand the business context.
It helps you write code and
It helps you write code and
metadata that is well generated
metadata that is well generated
that is high quality,
that is high quality,
well-formed, and it also helps
well-formed, and it also helps
you manage your entire
you manage your entire
application life cycle. Now in
application life cycle. Now in
the far in in the center, we
the far in in the center, we
have the product requirements
have the product requirements
document, which we will be
document, which we will be
using as grounding prompt for
using as grounding prompt for
the agent. And on the far right
the agent. And on the far right
we have the visual preview of
we have the visual preview of
what we're going to build. So
what we're going to build. So
let's take this for a spin with
let's take this for a spin with
a slow jog. And so we'll ask
a slow jog. And so we'll ask
Agentforce to add a header. Now
Agentforce to add a header. Now
before Agentforce writes even a
before Agentforce writes even a
single line of code. What it's
single line of code. What it's
doing is that it is
doing is that it is
interpreting the document, the
interpreting the document, the
PRD, understanding the context,
PRD, understanding the context,
understanding the guidelines
understanding the guidelines
which it should be using as it
which it should be using as it
develops the application. And
develops the application. And
very shortly in a few seconds,
very shortly in a few seconds,
you'll see the header surface.
you'll see the header surface.
And almost there. There you go.
And almost there. There you go.
Right. So there's real code not
Right. So there's real code not
anything else. So we've got the
anything else. So we've got the
it's got it's a basic header.
it's got it's a basic header.
And you see a confirmation on
And you see a confirmation on
the far right from an agent
the far right from an agent
point of view. But let's get to
point of view. But let's get to
the substance of the
the substance of the
application the actual
application the actual
dashboards. And so we'll go say
dashboards. And so we'll go say
the charts. Now a simple
the charts. Now a simple
statement of this fires off a
statement of this fires off a
number of things behind the
number of things behind the
scenes. First and foremost it
scenes. First and foremost it
starts to connect to your org.
starts to connect to your org.
It looks for semantic data
It looks for semantic data
models, data sources that
models, data sources that
actually match the context that
actually match the context that
you are looking for. Number one.
you are looking for. Number one.
Number two, it's looked for
Number two, it's looked for
other existing lightning
other existing lightning
components, other existing
components, other existing
dashboards within your org that
dashboards within your org that
it can reuse so that it's not
it can reuse so that it's not
sort of just polluting your org.
sort of just polluting your org.
If they aren't, it's going to
If they aren't, it's going to
go create the right lightning
go create the right lightning
web components, the right
web components, the right
dashboards that match the
dashboards that match the
design system that you've asked
design system that you've asked
for. So as you can see over
for. So as you can see over
here, we've got three
here, we've got three
visualizations on how the sales
visualizations on how the sales
on how the marketing
on how the marketing
activations is impacting the
activations is impacting the
sales pipeline. Now, let's make
sales pipeline. Now, let's make
this a little bit more
this a little bit more
interactive and go ahead and
interactive and go ahead and
under the header add a map and
under the header add a map and
a table. I can filter by city.
a table. I can filter by city.
Now notice that I've done this
Now notice that I've done this
step by step because in reality
step by step because in reality
nobody just says, go build this
nobody just says, go build this
app and go get a cup of coffee.
app and go get a cup of coffee.
That doesn't happen. It's a
That doesn't happen. It's a
dance that you have with the
dance that you have with the
agent, right? You're going back
agent, right? You're going back
and forth, you're refining.
and forth, you're refining.
It's helping you. You're
It's helping you. You're
keeping it in line. So this is
keeping it in line. So this is
where agents and humans work
where agents and humans work
collaboratively,
collaboratively,
collaboratively together. So as
collaboratively together. So as
you can see over here, we've
you can see over here, we've
got our map in place. We've got
got our map in place. We've got
the table where we can filter
the table where we can filter
by city. We've got the various
by city. We've got the various
dashboards. And now agent
dashboards. And now agent
through Agentforce Vibes, I can
through Agentforce Vibes, I can
go ahead and deploy this to my
go ahead and deploy this to my
org. Now I'm in my sandbox org
org. Now I'm in my sandbox org
where you can see that in a
where you can see that in a
matter of a few minutes, I have
matter of a few minutes, I have
a prototype that is grounded in
a prototype that is grounded in
my organization's data metadata.
my organization's data metadata.
It's in a pretty good state to
It's in a pretty good state to
socialize with my team, with
socialize with my team, with
other members of the
other members of the
organization, before I refine
organization, before I refine
it, to take it to production.
it, to take it to production.
And so this, my friends, is how
And so this, my friends, is how
Agentforce Vibes working
Agentforce Vibes working
seamlessly with our Agentforce
seamlessly with our Agentforce
360 platform, enables all of
360 platform, enables all of
you to conversationally build
you to conversationally build
your prototypes, accelerate
your prototypes, accelerate
your time to market in this
your time to market in this
agentic era. Thank you very
agentic era. Thank you very
much. And back to you, Patrick.
much. And back to you, Patrick.
[APPLAUSE]
[APPLAUSE]
>> Thank you.
>> Thank you.
>> All right. Thank you Kush.
>> All right. Thank you Kush.
Okay, so we're going to wrap
Okay, so we're going to wrap
this up a little bit. Hopefully
this up a little bit. Hopefully
you have seen what we think is
you have seen what we think is
an entirely new Salesforce. We
an entirely new Salesforce. We
call it Agentforce 360. Sanjana
call it Agentforce 360. Sanjana
showed us how Williams-Sonoma
showed us how Williams-Sonoma
is changing every customer
is changing every customer
experience. Shabani showed us
experience. Shabani showed us
how Fedex is changing their
how Fedex is changing their
operations. Tax showed us how
operations. Tax showed us how
we're changing the employee
we're changing the employee
experiences with our sellers,
experiences with our sellers,
and Kush showed us how we can
and Kush showed us how we can
bring it all together and
bring it all together and
actually start building. So we
actually start building. So we
are so excited about this new
are so excited about this new
Salesforce. Now, as Chris
Salesforce. Now, as Chris
appropriately pointed out, we
appropriately pointed out, we
know that Salesforce is not the
know that Salesforce is not the
only tool in your arsenal. What
only tool in your arsenal. What
you really need is a platform,
you really need is a platform,
an ecosystem that is open and
an ecosystem that is open and
extensible and Salesforce is
extensible and Salesforce is
here to meet you there as well.
here to meet you there as well.
We have thousands of ISVs that
We have thousands of ISVs that
have built implementations on
have built implementations on
top of Salesforce to help you
top of Salesforce to help you
get started faster. We are an
get started faster. We are an
open model companies, so you
open model companies, so you
can bring any model your own
can bring any model your own
model. Google's model OpenAI's
model. Google's model OpenAI's
model into Agentforce 360. And
model into Agentforce 360. And
we're open data as well. You
we're open data as well. You
don't have to pick your data up
don't have to pick your data up
and move it to Data Cloud. You
and move it to Data Cloud. You
can federate it with Zero copy.
can federate it with Zero copy.
It's a completely open
It's a completely open
ecosystem. But best of all,
ecosystem. But best of all,
just today we announced this.
just today we announced this.
If you've ever wanted to build
If you've ever wanted to build
a new business and it's hard to
a new business and it's hard to
build a new business, you have
build a new business, you have
to go and you have to build all
to go and you have to build all
sorts of technology, and you
sorts of technology, and you
need a marketing system and a
need a marketing system and a
customer database. It can be
customer database. It can be
hard. Well, now you can OEM the
hard. Well, now you can OEM the
entirety of the Salesforce
entirety of the Salesforce
platform. All of Agentforce 360
platform. All of Agentforce 360
can OEM and get started. Right
can OEM and get started. Right
now we are very excited about
now we are very excited about
this. We cannot wait to see
this. We cannot wait to see
what you all build with that.
what you all build with that.
Now speaking of getting started,
Now speaking of getting started,
we are here to meet you. We
we are here to meet you. We
have forward deployed engineers
have forward deployed engineers
that will come in and help you
that will come in and help you
pick the right use cases to get
pick the right use cases to get
started, help you figure out
started, help you figure out
how to get your data in the
how to get your data in the
shape that it needs to get on
shape that it needs to get on
pricing. Look, the world has
pricing. Look, the world has
not totally standardized on a
not totally standardized on a
pricing model yet, and we know
pricing model yet, and we know
that. So we are being as
that. So we are being as
flexible as we can. If you want
flexible as we can. If you want
to pay by consumption, we got
to pay by consumption, we got
you. If you want to continue to
you. If you want to continue to
pay by seat, we can do that for
pay by seat, we can do that for
you as well. If you don't care
you as well. If you don't care
and you just want to buy
and you just want to buy
unlimited and not have to think
unlimited and not have to think
about it, we'll do that for you
about it, we'll do that for you
as well with our Agentic
as well with our Agentic
Enterprise licensing agreement.
Enterprise licensing agreement.
Point is, come and talk to us.
Point is, come and talk to us.
We're flexible and we can work
We're flexible and we can work
with you now. Today it's not
with you now. Today it's not
over yet. This was just our
over yet. This was just our
keynote, but we have a full day
keynote, but we have a full day
of programing here for you. I
of programing here for you. I
highly recommend a few of these
highly recommend a few of these
sessions. You can come and dive
sessions. You can come and dive
deeper into Informatica if
deeper into Informatica if
you're in financial services.
you're in financial services.
Many of you are here today.
Many of you are here today.
We've got a session for you if
We've got a session for you if
you want to see how you can use
you want to see how you can use
Agent Builder and all of that
Agent Builder and all of that
new technology that Sanjana
new technology that Sanjana
showed us how to build agent
showed us how to build agent
faster. We've got a session for
faster. We've got a session for
you as well. And so with that,
you as well. And so with that,
of course, we want to end the
of course, we want to end the
same way we close. That's by
same way we close. That's by
thanking you. And I do have one.
thanking you. And I do have one.
Ask for you. That little QR
Ask for you. That little QR
code. We take this very
code. We take this very
seriously. If you scan that,
seriously. If you scan that,
it'll give you a short little
it'll give you a short little
survey. Tell us how we did. We
survey. Tell us how we did. We
try to get better every single
Resume AutoScroll
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Agentforce World Tour New York Main Keynote 2025
Join Salesforce in exploring what it means to become an Agentic Enterprise where humans and AI agents work together to drive customer success.
Starring
- Shibani AhujaSVP, Enterprise IT Strategy, Salesforce
- Taksina EammanoEVP & General Manager, Field Service, Salesforce
- Sanjna ParulekarSVP, Product Marketing, Salesforce
- Khushwant SinghSVP, Product Management, AI Application Development, Salesforce
- Patrick StokesEVP, Product & Industries Marketing, Salesforce
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