So from my perspective, what really matters with AI, I think,

really is ultimately going to be the business outcome and

can we measure it? The technology itself is obviously very

powerful, but ultimately I'm trying to understand does it

help us make better decisions? Does it help us grow revenue,

reduce costs, improve productivity, and can we really

see it on a sustainable, scalable way?

It's great to work on them as projects. It's great.

The tools are obviously very powerful.

But again, can we really see the ROI and can we do it on a scalable

basis?

Yeah. So it's a great question on how do we evaluate ROI because I think there's

a few dimensions here. One is obviously the cost part of it.

But let's put the cost part of it aside for a minute and we can certainly come back

to that. I think there's a few dimensions.

I think about growth, I think about productivity,

and I think about business impact.

So for growth, again, can we

use it to improve sales productivity?

Can we use it to really go grow top line?

We've taken a stance within board that we want to prioritize growth

initiatives over cost-cutting initiatives.

That doesn't mean that we may not find some efficiency, but we're really trying to

use it in a way that hopefully accelerates

growth.

And again, as evaluating that we need to understand are

we seeing, as I mentioned before, are we seeing this in a scalable way?

Does it allow the teams to really go spend more

time on decision-making instead of just data

preparation? And then ultimately, how do we factor that into the

business? Maybe it gives us some information that

is useful,

but I could have done it in another way and it's not

cost-effective to use AI in this capacity.

So I think the ROI part is it's not just the cost, but it's really

evaluating how does it factor into decision-making?

Can it be something that's sustainable long term?

And

ultimately does it improve

our business?