The Engagement Model

One owner, whether you build private, buy commercial, or wait.

Strategy, governance, private or commercial AI architecture, and implementation leadership, structured so the advice has no sales quota behind it and the work still ships.

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The engagement model

AI Executive Assessment

Two weeks, fixed end date: stakeholder interviews, a workflow and data-source map, an AI usage and risk review, your top-5 use cases scored by ROI and feasibility, an architecture recommendation, and a 90-day roadmap.

$5,000 fixed · credited toward advisory

How the two weeks run, with sample deliverables →

Executive AI Advisory

I own your AI operating model: strategy, governance, prioritization, vendor and architecture decisions, and oversight of implementation, with visible deliverables every month.

From $15,000/month · 4-client cap

What a month looks like →

Implementation

Approved roadmap items get built by Last Rev, my consultant network, or your internal team, under separate SOWs. I direct; the delivery team builds.

Separate SOW

See the delivery work, measured →

The assessment sometimes concludes you should wait. You'll own the roadmap either way — the recommendation explicitly includes "advisory, implementation only, both, or wait."

You don't have to imagine any of this output. Read the sample deliverables — including a full 12-page assessment report →

Capabilities

AI strategy & roadmap

A sequenced, scored plan tied to business outcomes.

Sample assessment report (PDF) →

Governance & risk

Data tiers, approved tools, acceptable use: one page, owned, reviewed.

Sample one-page policy (PDF) →

AI investment & ROI

What to fund, what to kill, and the P&L line each initiative actually moves.

Sample ROI memo (PDF) →

Vendor & model strategy

Which models, tools, and licenses, chosen for your data and budget, never for a reseller's quota.

Sample vendor evaluation (PDF) →

Private AI architecture

Local models and a governed knowledge layer when your data demands it.

Private AI strategy →

Commercial AI enablement

Enterprise Claude, ChatGPT, or Copilot, rolled out with governance, champions, and usage measurement from week one.

Sample 60-day enablement playbook (PDF) →

Governed knowledge layer

Your documents and systems, retrieval-ready and permission-aware.

Sample design specification (PDF) →

Workflow automation

The document-heavy processes that eat expert hours, automated and measured.

Sample build-ready workflow spec (PDF) →

AI adoption & training

Champions, training, and usage measurement. Unused tools have zero ROI.

Sample 90-day adoption plan (PDF) →

Evals & benchmarks

Golden datasets, trap questions, and hard acceptance gates — so you know the AI is right before you trust it, and after every model update.

Sample evaluation plan (PDF) →

AI data foundation

The governed document and data architecture every AI initiative reads from — sized for your firm, not an enterprise data-lake program.

Sample data blueprint (PDF) →

Board presentations & prep

The quarterly board narrative, the money slide, and the questions partners should expect — prepared, rehearsable, and defensible.

Sample board deck (PDF) →

The delivery bench

Last Rev

The enterprise web and platform engineering firm I co-founded: the team behind the delivery numbers on this site.

Visit lastrev.com →

Specialist consultants

A vetted network for specialist work: data engineering, security, vertical expertise.

Your internal team

If you have builders, I direct them. The roadmap doesn't care who holds the keyboard.

"The separation is deliberate: I make the calls and stay accountable for them. The bench builds."

Why the structure keeps me honest

Implementers recommend what they can build. Tool vendors recommend what they sell. I recommend what your data, budget, and workflows justify — then bring the right builders. If the honest answer is "buy enterprise ChatGPT and fix your document hygiene," that's the recommendation you'll get.

Start with the Assessment.

Two weeks, $5,000 fixed, and a roadmap you own, whichever way the recommendation goes; if you continue, it's credited toward advisory.

Book an AI Strategy Call Want the retainer details first? See the advisory offer →