Imagine an enterprise
where every AI
agent, however it was
built, works in concert,
fully visible,
fully connected, and
trusted to act.
That's the promise of
the agentic enterprise,
and agent fabric
is what makes it
real, but do not take
our award for it. I'm
Kerry Chow, joined
by Adam Jones,
Executive Director of
Enterprise Transformation
at GE Appliances,
a hair company
headquartered in Kentucky,
but Adam, I'd also
say it's also in
appliances in half of
all American homes.
Would you say that's
about accurate?
Thanks so much
for joining us,
Adam. Listen,
GE Appliances is
a legacy name
with a massive
manufacturing footprint.
What were some
of the priorities
you're looking to
address that led you
to agentic technology?
you know, a lot of
us have been on this
journey with AI,
journey of AI for the
last several years.
And a lot of it's
been targeted at
what can you do to
improve your personal
productivity, right?
So GE Appliances, we
really took that. Our
CEO really drove that.
We really focused
on that internally.
And then we brought
that outward to our
consumer. Now it's
about those opportunities
of enterprise scale
transformation.
How do you move the
needle organizationally
with AI and get
outside of that personal
productivity gain
and really, really move
the organization as
a whole? Absolutely.
It's like you have
one superstar player.
How do we scale that
superstar player
across the enterprise?
As you look at bringing
agentic AI into
an operation, the
scale of GE appliances,
how has the foundation
you've built
supported you in that
transition? Yeah. So
you do have to
move from personal
productivity to enterprise
scale, right? A lot
of what's going on in
big organizations with
AI today is around
the one-offs. You
know, people are creating
their own agents,
they're running their
own chats, and there's
no governance or
visibility into that.
So that's fine
for personal
productivity, but
it won't move the
needle on enterprise
transformation.
What will move that
needle is when you
start looking at
agentic runtime
capabilities and control
plane visibility.
So you have that
single place where all
the agents are
built, where you can
govern that, where
you can see who's
built it and see
what systems they're
accessing. And that's
the kind of shift
that I'm looking at
with G Appliances.
That control plan,
I keep hearing about
that. It's so important
to have everything in
a place that you can
easily manage, right?
agent governance, huge
when it comes to agent
fabric. But tell me,
how do you see agent
fabric helping you
scale with confidence?
So when I think about
it, agent fabric is
that single control plane
for all of our agents,
regardless of where
they've been built.
Much like the API
gateways did for our
APIs and control of
those a decade ago.
If you step back
and think of it from
a systems
perspective, your IDP,
your identity
platform, or identity
provider gives your
agents identity.
Agent Fabric gives
your agents a runtime,
a place where they
can live and function.
And then MuleSoft
Omni Gateway gives
you the secure
control pipeline down
to those back-end
systems that the
agents are going
to need to access.
be it Salesforce
or data warehouses.
So as teams are out
there building agents,
we now have that single
control plan where
we can see those agents
who built them and
then shut them down if
something's going bad.
That's how you move
from those experiments
into real enterprise
scale with trust.
If we zoom out
for a second,
I'm curious, you know,
for other leaders,
even outside of
manufacturing, right,
who are earlier in
this journey than
you are, as you're
already progressed
pretty far here,
What advice would you
give them? How should
they get started?
I would say three things.
One, pick real
business use cases
that are going to
drive outcomes.
It's very tempting
right now to focus
on the technology.
It's super exciting.
Let's build agents.
And I'm not saying
don't do that, but
intersect that with
real outcomes. You're
going to get the
momentum you need,
and it's going to
move from experiment
to real production.
Second, on the
platform side, start
building the foundation
now, even if you
don't know all the
elements in the stack.
Think of it
from a platform
perspective on an
engineering side.
You're going to have
all those typical
elements of observability,
FinOps, control,
and everything you
need there. But the
real key here is how
you securely allow
AI to access your
enterprise systems. Once
you do that, you're
going to unlock it.
And then third, on
the architecture
side, I would say
be flexible and be
ready to change.
This technology is
changing so fast,
it will cause your
architecture to
evolve pretty quickly.
So just be okay
with that. I like
that because
the way that how
quickly we are moving
in this technology,
you do have to
be flexible.
I'm curious, was
there an aha moment
for you when you
realized the investment
in MuleSoft was
paying off for GE?
I would say a
couple. Well, one, so
we use MuleSoft as
an enterprise API
gateway in our
organization, right?
We've had
thousands of APIs
across our
organization today.
One aha is MuleSoft
gives us the ability
to proxy that API
and turn it into
an MCP layer with just
some configuration.
So we're talking
about rapid
acceleration of MCP
capabilities across the
organization, which
is what we need.
The second aha
was as we started
to look at agent
fabric and we
start to really
get into this,
again, going back to
that central control
plane, I need a place
that I can bring all the
agents in our
organization together, be
able to govern that,
control that, and then be
able to execute that
quickly and at scale.
And as you mentioned,
the scale that we're
dealing with is
pretty significant. So
a couple of ahas
there for us. I love
hearing the ahas. Ahas
good for everybody
Great to hear, Adam.
Thank you for sharing
GE Appliances path
with Agent Fabric.
To learn more about
Agent Fabric and
what it can do for
your organization,
go to sforce.co
slash Agent Fabric or
just scan the QR
code on your screen.
