Skip to main content

Greg Holmes

Former tennis player

Oct 4, 2026

5:01
So can you share an example of what you've seen where an AI project looked affordable in pilot, but then changed materially at a production scale when things quickly got more expensive?
5:13
Yeah, I've certainly seen it in engineering projects in our clients.
5:18
Some of the largest customers have been testing out AI in certain processes and realizing once they've rolled it out that they haven't adequately planned for how much they need.
5:31
in order to keep it running and to keep that new process working.
5:35
And often that token bill on its own is only the smallest part, right? It's maybe 20% of the real cost of getting that initiative going.
5:45
You've got to think about all the storage, all the other infrastructure around things.
5:49
You've got to think about the governance software and all the people who've been building these components too.

11 MINS LATER

16:40
And again, I'm curious, if we put all those conversations you're having with customers and clients and inquiries and conversations on the show floor at tech conferences, are there any trends in what's concerning people now, what they're talking about, and how are you helping them overcome that?
9:15
So what does a practical, workable, sovereign solution look like today? And also what trade-offs does that mean making? Because there are always going to be trade-offs when you go with something sovereign.
9:27
Yeah, I think we need to think of sovereignty as a level of requirement as well.
9:33
It's not a, this environment is sovereign and this one is not.
9:37
There are actually different nuances to it.
9:40
So it does come into workload placement again.
9:43
And if you understand what's in your workloads, then that gives you an indicator on whether it needs to be in a sovereign environment, how much of it needs to be in a sovereign environment, and what the trade-offs would be.
9:57
So, things like security comes as a natural kind of area of trade-off.
15:00
I think a really important question that we're all going to have to deal with is in this blended world, who owns cross-functional areas like AI cost management? Would that sit with finance? Would it sit with a business? Would it sit with IT? What's the answer to

We value your privacy

We use cookies to understand how you use our platform and to improve your experience. Click “Accept All” to consent, or “Decline non-essential” to opt out of non-essential cookies. Read our Privacy Policy.