→ Approach
Most AI work measures the wrong thing—how much AI you’ve deployed. We measure whether it moved the numbers you came for, and we’re honest about where it won’t help.
AI maturity isn’t how much AI you adopt. It’s AI dependably producing the results you set out to get.
Revenue, productivity, quality, customer satisfaction—at whatever level of AI use actually serves the business.
The practice is run by Brian Fromme. Most AI consultants have one credential; he has three—which is the whole thesis: someone who can build the thing, sell the thing, and tell you honestly when AI isn’t the answer.
A senior software developer with production Claude Code work, after two decades in enterprise open source at Canonical and SUSE.
Years in go-to-market and partner leadership at Canonical and SUSE—he engages a CTO and a CMO with equal fluency.
A decade with his own consulting practice, and an earlier one whose product was sales and marketing collateral. He knows what a result has to earn.
Scope locked before work begins. Single invoice, Net-30. No hourly surprises—out-of-scope items are priced separately, never absorbed.
Your team walks out with a tuned setup and the capability—not a dependency on us. The point is that you can keep going.
We’re not reselling anyone’s AI. The recommendation is whatever actually gets you the result—including “don’t use AI for this.”
One practiced hand, not a bench of juniors. The honest read on where AI fits—and where it doesn’t—is the relationship.
Every other AI consultant writes that. We’d rather show you a real build and its three gotchas.
Concrete builds, real results, named problems. Specifics buy trust; abstractions don’t.
The summit isn’t “use more AI.” It’s the result you came for, at whatever level of AI serves it.
Senior work at a senior rate. Buyers who balk get a warm referral, not a discount.