Engineering decisions,
derived down from the P&L.
Most technology advice starts with the technology. Mine starts with the business — where you make money, where you lose it, what the board is actually asking — and derives the architecture, the team, and the AI down from there. It's the same method every time. The answer never is.
The method is how I engage: disciplined, repeatable, accountable. What I build inside it is never boilerplate — in the AI-native world the state of the art moves too fast for canned solutions. The spine stays; the solution is always current.
Read → Direct → Build → Operate.
Four movements, one spine. Each call derived down from the business — never off a shelf.
Diagnose the system and the business
A clear-eyed read on product, team, architecture, security and spend — tied to your P&L. The real root cause, not the loudest symptom, plus where AI creates measurable leverage and where it's a distraction. You leave with a 90-day plan you can act on immediately, with or without me. Available as a fixed-fee engagement — see pricing.
Set the AI-native direction
Technology strategy tied to revenue. An architecture that scales. An AI-native operating model and the org to run it. Build-vs-buy, security and compliance posture, and the hiring plan — every call derived down from the business.
- →A roadmap
- →An architecture blueprint
- →An org & hiring plan
- →An AI governance & usage policy
Ship the systems, build the team
Hands-on. Production AI systems in the product and the pipeline — agentic and retrieval architectures with the right guardrails, eval, observability and cost control built in. The SDLC rebuilt AI-first, security in every pull request. And the AI-native team, hired and operating, delivering at elite DORA. This is the part most "AI advisors" don't do. I do.
Run it, measure it, make it stick
AI moves too fast to rest on a launch, so the work compounds. I run the operating model and measure it — DORA for delivery, cost and quality for AI systems — re-run evals as models drift, adopt what's genuinely better, and feed production signals back into the product. Then I plan the transition: to an internal hire, an advisory cadence, or a trained team. No permanent dependency.
Want the
read first?
The fastest way to know if I can help is The Diagnostic — a fixed-fee, two-to-four-week version of Movement 01. Yours to keep whether or not we continue.