A practical AI executive on your leadership team.

I own your AI strategy, governance, and roadmap — and I show my work every month.

Apply for an advisory seat

Who this is for — and who it isn't

This works when you are

  • A founder-led or partner-led company, roughly 50–500 people
  • Doing data-sensitive work — client financials, legal matters, patient or proprietary data
  • Feeling real urgency: clients, competitors, or your own team are forcing the AI question
  • Without internal AI leadership — nobody owns this today

This isn't for

  • Companies that want a demo, not a change
  • Committees with 12-month procurement cycles
  • Anyone looking for cheap engineering hours dressed as strategy

What you get every month

Executive strategy session

With the leadership team — decisions, not status updates.

Department discovery or training session

One workflow deep-dive or enablement session per month.

Updated AI opportunity backlog

Every candidate workflow scored and prioritized. You see the math.

Governance & risk review

What's approved, what's exposed, what changed this month.

Implementation planning & review

With whoever builds — Last Rev, specialists, or your team.

Async advisory

Email/Slack access during business hours. Questions don't wait for meetings.

The Monthly AI Executive Report

Adoption metrics, shipped work, top opportunities, blocked decisions, risk notes, vendor and model updates, and the next-30-day plan — in writing, every month.

What's not included

Unlimited engineering, 24/7 support, hardware, and large implementation projects are not part of the retainer — implementation is scoped separately, so the advisory fee pays for judgment and ownership, not surprise invoices. Saying that out loud up front is part of how this stays a good deal for both of us.

The math

A full-time Chief AI Officer runs $350–500K fully loaded, takes six months to hire, and arrives without a delivery team. This retainer is a fraction of that, starts in weeks, includes a bench — and you can end it.

How implementation fits

Approved roadmap items are built by Last Rev under separate SOWs, by my consultant network, or by your internal team. I remain the strategic owner regardless of who builds — my advice is never a sales quota for an implementer.

See how I work →

Pricing

Advisory engagements start at $15,000/month with a quarterly commitment. Most clients begin with the Assessment ($5,000–$7,500, credited toward your first month).

Common questions

Why not have IT or our smartest engineer own this?

Tool selection isn't the job; changing how the business operates is — that's an executive function. Your best engineer can evaluate a vector database. Deciding which data can leave the building, which workflows come first, and how ROI gets measured is leadership work.

Is this just a funnel for your agency?

No. Strategy and implementation are structurally separate. You can use Last Rev, another vendor, or your own team — I stay accountable for the strategy either way, and my recommendation is never an implementer's sales quota.

$15K/month is a lot.

It's a fraction of a full-time Chief AI Officer at $350–500K loaded, it's cancellable, and it comes with a delivery bench. You also see exactly what you get every month — the seven deliverables above, in writing.

Can't we start with something smaller?

Yes — that's exactly what the Assessment is: two weeks, fixed price, credited toward the retainer, and it ends with a roadmap you own either way. Sometimes the assessment's recommendation is to wait. I'll say so.

Four seats. That's the whole roster.

I take a maximum of four advisory clients, because I also run an AI product company and co-lead a services firm. If this sounds like the missing seat on your leadership team, apply and let's talk.

Apply for an advisory seat Want to start smaller? Begin with the Assessment →