// How I work
Three phases. No six-month discovery.
You're past “should we do AI.” The question now is what to build first — and who can actually build it. I work on a monthly retainer with companies serious about putting AI into how they operate, not running experiments next to it. Here's exactly how that works.
Your plan, end to end
Assess. Build. Embed.
Month one through the end of the engagement. Each phase has a clear output — and you see the work run before you ever see an invoice.
Assess
Weeks 1–2
We map your operations against where AI creates real leverage — not where it's trendy. Where it compounds.
- You get
- An integration map, a ranked set of opportunities, and a clear recommendation on what to build first.
- You don't get
- A 60-page strategy document, a maturity model, or a vendor comparison matrix.
Build
Ongoing
Working software, not prototypes. You see it run before it ships.
- Every build
- Define the outcome, build the minimum system that delivers it, put it in front of real users, iterate.
- Typical builds
- Intelligence engines, operational automations, decision support systems, content systems.
Embed
Continuous
The system becomes yours, not mine. I train your team, document how it works, and make sure it runs without me.
Your organization is more capable after I leave than before I arrived.
An honest filter
Who this is — and isn't — for.
- You run a mid-market company (50–500 people) with real operations to optimize.
- You’re past “should we do AI?” and at “what should we build?”
- Your team is willing to change how it works — not just add tools.
- You have budget for a monthly retainer, not a one-off project.
- You want a strategy deck to show the board.
- You’re looking for prompt-engineering training.
- You need to “explore the AI landscape” before committing.
- You think AI integration is an IT project.
// Start here
Ready to assess?
The first conversation is about your operations — where the leverage is, what the timeline looks like, and whether I'm the right person for the job. No pitch decks. No pressure. Just a clear-eyed look at what AI could actually do for your business.
Built into the work itself.