Build AI capability inside your company — without losing control of it.

I advise executive teams on AI strategy, governance, and workflow automation, and I own the results. Whether the right answer is private AI, enterprise tools, or both, you get one accountable owner — me — and a proven delivery bench when it's time to build.

AI is already inside your company. The question is whether anyone is leading it.

This isn't a tools problem. It's an ownership problem.
  • Employees are pasting company information into public AI tools today — with no policy on what's allowed.
  • Copilot or ChatGPT pilots launched with enthusiasm and produced no measurable ROI.
  • The knowledge your team searches for daily is scattered across drives, email, and systems nobody connected.
  • Everyone agrees "we should be doing something with AI." Nobody owns what, in which order, or how safely.

What I own

AI roadmap & executive alignment

A scored, sequenced plan the leadership team actually agrees on — not a list of pilots.

Governance & acceptable-use policy

Data tiers, approved tools, and one page of rules people can actually follow.

Data & AI architecture

Private, commercial, or hybrid — decided by your data sensitivity and budget, not a vendor's pitch.

Workflow automation prioritization

The opportunity backlog: every candidate workflow scored by ROI and feasibility.

Implementation oversight

Whoever builds — my delivery partners or your team — I stay accountable for the outcome.

Leadership & team enablement

Training that changes how work gets done, with champions and measured adoption.

"Functionally, I serve as a fractional AI executive for companies not ready to hire a full-time Chief AI Officer."

There's no single right way to adopt AI. There is a right way to decide.

"We can't put our data in public tools."

Private AI architecture: local models, a governed knowledge layer, your data never leaves. I'll also tell you when this is overkill.

Read about private AI strategy →

"We bought Copilot/ChatGPT and nothing happened."

Commercial AI enablement: governance, integration with your systems, and workflows that actually get adopted.

"We don't know where to start."

The AI Executive Assessment: two weeks to a scored roadmap and a defensible decision.

See the engagement model →

I don't sell models, hardware, or licenses. The recommendation follows your data, your budget, and your workflows — and I stay accountable for it either way.

Results from real delivery work

40–60h 8–12h

RFP response time — construction services

6–8h 15min

Technical document search — medical devices

−60%

Legal research time — law firm

18% 0%

Sensitive-data exposure in AI tools — ad-tech

Delivered with Last Rev, the platform engineering firm I co-founded.

How we'd work together

AI Executive Assessment

Two weeks to a scored roadmap and a defensible decision — including "wait," if that's the honest answer.

$5,000–$7,500 · credited toward advisory

Executive AI Advisory

I own your AI operating model — strategy, governance, prioritization — and show my work every month.

From $15,000/month

Implementation

Built by Last Rev, my consultant network, or your own team. I stay accountable either way.

Scoped separately

I take a maximum of four advisory clients.

That cap is real — I also run an AI product company and co-lead a services firm. It's also why the work is good. If you want an executive who owns your AI outcomes rather than a vendor who bills for activity, let's talk.

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