WEBVTT

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Susan and Ben, thank you so much
for joining us.

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And Susan, for early adopters,
what are the key things that

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they need to be doing for
success?

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We all know that all technology
projects really benefit from

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executive support.

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That's a really good thing to
move through blockers and to

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have commitment to succeed.

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But the way I would phrase it
is: The time for technical

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experimentation is really 2023.
Like, that's over.

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That's an old game.

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And so, in today's day and age,
you need to be very, very

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focused on those business
outcomes.

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And then and from there, with
that hypothesis of value, really

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put all the wood behind those
arrows to really execute.

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So, at Dreamforce, like, one of
the things that usually happens

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for me when I'm talking to
customers is I expect they'll

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have a lot of questions about
what they saw on this stage, and

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I need to unpack it for them.

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That did not happen this year.

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Everyone walked away and said,
"I get it, it was demonstrable,

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and I want it."

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And then the question we often
get is: How do we think of this

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in connection with existing
investments we've made? And what

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are those natural points of
integration--whether it's

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process or other technology
decisions--that bring it all

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together? 

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So, executive support a
hypothesis of value, and then

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mindful in terms of how it's
playing into the enterprise.

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And Ben, this next question for
you, what strategies are proving

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to be most effective?

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I think it actually is starting
with that process.

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It's to say, you know, not
everything starts with GenAI 

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or AI.

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It starts with, you know, I--it
starts with that process.

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And if you try to build
intelligence off a broken

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process, you're not going to get
very far.

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And so, really, actually being
process led and strategy led

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there and then ultimately
bringing together your

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stakeholders.

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I know Susan said having the
executive support, but what

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we're seeing from some of our
research is drastically

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different expectations across
technology teams and business

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teams in both the investments
that they want to put in as well

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as the return that they expect
to see out of it, not to mention

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the readiness that they see.

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It's funny for a sales
organization to say we're ready

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for GenAI

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only to be saying, you know, an
IT organization, you know, we've

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got to work on the data in the
infrastructure there.

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And Susan, from a product
perspective, what innovations at

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Salesforce are you most excited
about? 

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Agentforce. So the product
launch that we did today was so

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impactful in terms of our next
step in the frontier of

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generative AI.

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When we launched 18 months ago,
it was very deliberately around

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human in the loop and in an
employee facing.

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And with the stuff that we built
out with our AI automation and

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our reasoning engine, which we
call Atlas, 

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and some of the techniques that
we have for putting guardrails

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and process around it,

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is really unlocking all sorts of
capacity in terms of the ability

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for people to go aggressively
with AI.

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And not just in terms of more
use cases for their employees,

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but to take this stuff
externally to their customers

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with these agentic or these
autonomous applications.

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Thank you so much.