$78M+
Raised across his companies
$4T+
Assets underwritten by AI
4
Industry-first AI products
4
Patents granted^
Alumnus of
^More pending. Every claim on this page links to a live public source.
Fractional Chief AI Officer for AI companies, law firms, and private equity. Four industry-first AI products. Four patents. $78M+ raised, and models that quietly underwrite $4T+ in assets. One seat opens this quarter.
^Serious about the work. Unserious about almost everything else.
^More pending. Every claim on this page links to a live public source.
The fractional-CAIO market runs $2–8K a month and is mostly career advisors and prompt-course graduates. The vetting question buyers are told to ask is “show me what you’ve shipped.” Here’s the side-by-side.
Seed to Series B. You need to know exactly what to build with AI, then ship it — with a roadmap your board can hold you to.
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AI adoption without the malpractice headlines — vendor vetting, workflow selection, and rollout, from the CTO who built the first generative-AI legal citator (94% on Stanford Casehold).
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AI diligence on targets and AI value-creation across the portfolio — judged with the same underwriting discipline that prices $4T in insured assets.
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Insurers, banks, healthcare, industrials — anywhere proprietary data meets a decision worth automating. If the problem is real, the vertical is negotiable.
Book a free strategy session →A free 30-minute call — and not a sales call. No pitch. Bring your roadmap, a vendor’s proposal, or the board question that keeps resurfacing. You leave with a straight answer either way, whether or not we ever work together.
Two weeks, fixed scope: a prioritized AI roadmap, a competitor teardown, and a working prototype of your top feature — so the plan is proven before you commit to anything bigger. Recorded walkthrough included.
First 90 days: a costed AI roadmap, a governance baseline your counsel can sign, two build-vs-buy decisions made, and a board-update cadence. After that: up to five hours a week owning the AI agenda — vendor vetting, delivery oversight, hiring. Four seats total — when they’re full, they’re full.
Three-time AI founder. Built the first carrier-approved AI wildfire model at ZestyAI, the first generative-AI legal citator as CTO of Paxton, and the first remote solar-assessment AI at PowerScout. Four patents. Started at McKinsey; models he helped build now underwrite $4T+ in assets.
linkedin.com/in/michaelulin →
“We brought on a fractional Chief AI Officer — the one who built the first regulator-approved AI wildfire model. He’s reviewed the roadmap, killed two projects, and prototyped the one that matters.”
Build logs, vendor teardowns, and the occasional strong opinion — written the week it happened, not polished into a case study. Free, weekly-ish.
Only if you want codebase-level recommendations. We can work from product docs, user research, and roadmap conversations alone — code access enables deeper guidance but isn’t required.
We’ve shipped the things we recommend — four industry-first AI products, two patents, models regulators approved. Advice comes from building, not from frameworks. And there’s no deliverable padding: the output is decisions, prototypes, and a roadmap, not a deck.
The strategy session is free. The Field Report is $12,500, fixed. The fractional CAIO seat starts at $9,500/month for up to five hours a week, on quarterly terms. Prices are on the page because we don’t enjoy pricing theater any more than you do.
Up to five hours a week — recurring working sessions, async access, board meetings, and the standing right to ask “should we build this?” at 9pm. Four seats exist in total, so the attention is real.
Yes — the legal citator we built at Paxton lives under exactly those constraints. Engagement terms, data handling, and conflicts checks are all standard practice here, not an improvisation.
Yes — sourcing, vetting, and ongoing management of outside build teams is part of the seat. We write the specs, review the work, and referee the estimates, so “two more sprints” stops being a lifestyle.