An AI executive on your leadership team.
I own your AI strategy, governance, and workflow automation, in writing every month, and you can cancel quarterly.
Book an AI Strategy CallWho 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 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
Don't take the list on faith — most of these exist as full sample PDFs you can read right now. Browse all sample deliverables →
Executive strategy session
With the leadership team. You leave with decisions made.
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 a month actually looks like
The deliverables above aren't a grab bag — they land on a cadence. Here's the rhythm of a typical month in the seat.
Week 1 · Set the agenda
The executive strategy session with your leadership team. We work from the scored backlog and the open decisions, and you leave with calls made: what advances, what waits, what dies.
Week 2 · Go where the work is
The department deep-dive or training session: one workflow examined with the people who run it, or one team enabled on the tools they already have. This is where next month's backlog entries come from.
Week 3 · Check the guardrails
The governance and risk review: what's approved, what's exposed, what changed. If a build is in flight, this is also when I hold the implementation review with whoever's building.
Week 4 · Put it in writing
The Monthly AI Executive Report lands: adoption numbers, shipped work, the updated backlog, blocked decisions, and the next-30-day plan. Async advisory runs through all four weeks — questions don't wait for meetings.
Read a sample monthly report (PDF) → ·Read: inside the monthly report →
How you'll know it's working
You shouldn't have to take my word for progress — the operating model is built to be measured. Every month you can check three things against the report:
Adoption you can read
Usage numbers by department, from the tool consoles, not from surveys. If a team stalls, the report says so and names the fix.
A backlog that moves
Workflows advance from scored, to specified, to shipped — or get killed in writing. The killed list stays visible; a backlog that only grows is a red flag, and you'd see it.
P&L lines with owners
Every funded initiative names the line it moves — hours recovered, tickets deflected, response time cut — and the quarterly ROI memo gives each one a verdict: fund, hold, or kill.
What's not included
Unlimited engineering, 24/7 support, hardware, and large implementation projects aren't part of the retainer. Implementation is always a separate, scoped decision — the retainer buys judgment and ownership, not engineering hours. Keeping those separate is what lets me tell you not to build something.
The math
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.
Pricing
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 the Assessment: two weeks, $5,000 fixed, and a roadmap you own either way, credited toward the retainer if you continue. Sometimes the recommendation is to wait. I'll say so.
Four seats. That's the whole roster.
Two are open as of July 2026. Each seat gets the seven deliverables above, every month. If this sounds like the missing seat on your leadership team, let's talk.
Book an AI Strategy Call Want to start smaller? Begin with the Assessment →