Your AI product works.
Your commercial model doesn't.
That gap is the whole engagement.
We're operators, not consultants. We've priced, shipped, and cleared AI products at GE Healthcare, NavVis, ADP, and Nokia — and we sit with founders, CPOs, and PE operating partners through the 90 days where the commercial model either closes the gap or loses the year.
OUR EDGE
CPO + CTO
in one room.
Most consulting engagements split the product brief from the architecture brief. The product consultant writes one thing. The tech consultant writes another. Your engineering team spends weeks deciding who's right.
We work the problem from both sides in the same session — a CPO and CTO bench with 114 combined years shipping at ADP, Citi, Oracle, GE Healthcare, EY, eBay, SunGard, Dassault Systèmes.
What ships matches what was designed. No translation layer. No handoff. One room. One decision.
THREE PROBLEMS · ONE OPERATING LOGIC
Three problems.
Solved completely, not checked off a list.
Most advisory firms sell a menu. We work three problems at the intersection of AI, commercial architecture, and regulated markets — and we stay on them until they're resolved. If your problem isn't one of these, we'll say so on the first call and point you to someone who fits.
Your company isn't missing AI tools. It's missing an operating system.
Encode how your company operates, decides, and learns into infrastructure that makes every person dramatically more capable — without losing the company's identity.
Pricing isn't a rate card. It's the architecture behind it.
Commercial architecture your CFO, customers, and board can all defend — with a live scenario model that shows you exactly where the margin is slipping.
Technically ready. Commercially stuck.
Convert healthcare, legal, and financial AI pilots into predictable, high-margin enterprise subscriptions — without FDA, HIPAA, or compliance derailing the roadmap.
FIVE QUESTIONS · TWELVE MINUTES
Where is your commercial model leaking?
A 12-minute diagnostic that asks the questions your board will ask before they ask them. The output isn't a score. It's a decision memo — three priorities for the quarter, each matched to the move that fixes it.
Run the diagnostic →- Is your pricing floor still anchored to pre-2024 compute assumptions?
- Can your CFO defend margin through three compute-cost scenarios?
- Does your sales team know which 30% of denials are worth fighting?
- Is your InfoSec package cleared once, or vendor-by-vendor?
- Where does your AI workflow leave an audit trail — and where doesn't it?
Willingness-to-pay validated at roughly thirty times the company's initial pricing assumptions — on a $90M ARR five-year path.
AI was priced as software. Buyers were pricing it as recovered revenue.
A market-dominant clinical-guidelines company had a working AI appeals product and no commercial model. In under 90 days we rebuilt the pricing frame around the metric that moves CFOs — recovered revenue, not software features — and stood up the five-year financial model the board could defend.
Discuss this engagement →WHAT WE BELIEVE · WHY CLIENTS HIRE US
Four things
most advisors won't say out loud.
Operators triage. Consultants scope.
We'd rather tell you in 25 minutes that your problem isn't ours than build a six-week discovery phase that pretends it is.
The bottleneck isn't the model. It's the organization around it.
Better AI doesn't fix a company that can't absorb it. The firms pulling ahead are treating governance, pricing, and learning as one system.
If the CFO can't defend it, the board won't approve it.
Every pricing model we build survives three compute-cost scenarios, and every engagement ships a finance narrative the CFO can walk into a board meeting with.
A decision memo beats a 200-slide deck.
Every engagement ends in a two-page document: what to change, what it's worth, what it costs to execute. Frameworks you admire vs. systems your company runs on Monday.
MORE CASES · MORE CONTEXT
Every case study is written
with board-memo discipline.
AI was priced as software. Buyers were pricing it as recovered revenue.
30× willingness-to-pay revalidation. $90M ARR five-year model. 90 days.
A $40M AI portfolio stalled at commercialization. Not at engineering.
Portfolio rebuilt into revenue division. Multiple Fortune 50 activated within 12 months.
Technically impressive demos for 18 months. No signed contracts.
First paid enterprise contracts across three verticals within 12 months.
Seven case studies in total — regulated healthcare, industrial AI, PE-to-IPO, fraud detection, mobile commerce, and more. See all seven →
STAY IN THE LOOP
New case studies. No noise.
One email a month — what we shipped, what we learned, what changed our mind. Or follow us on LinkedIn for shorter, more frequent reads.
Twenty-five minutes.
One partner.
The problem you actually have.
We'd rather spend twenty-five minutes finding out whether this fits than scope an engagement that doesn't. Most calls end with a clear next step — sometimes with us, sometimes with someone we trust.