Clarity · Map Out Your AI Plan
I find your Big AI Idea.
Three weeks, run on your business. I find the highest-leverage thing AI should build for you, read the architecture standing in the way, and hand back a sequenced roadmap — so you know exactly what to build, and what it'll take, before you spend a dollar building it.
The Idea phase, run for you.
Clarity is a focused three-week engagement for teams who know AI belongs in their product but not what to build first. I work directly on your business — your product, your data, your systems, and the places AI actually has leverage — and find the Big AI Idea: the single highest-value, most-feasible thing to build, named and scored, with the reasoning a technical leader can pull apart.
It is not a brainstorm, and it is not a strategy deck. It's a worked diagnosis — the idea, the architecture gaps between you and building it, and a sequenced roadmap to get there — done by someone who builds this software, not someone who only advises on it. Whatever you decide to do next, you do it knowing what you're building and why.
And it's run for you. Expect a few hours a week from you and one or two key people — the depth comes from my work between sessions, not from occupying your team's calendar.
The most expensive decision is what to build.
95% of AI pilots never deliver measurable ROI. Most don't fail in the build — they fail before it, because the team aimed at the wrong thing or stood it up on architecture that couldn't hold it. By the time that shows up, you've spent six figures and most of a quarter to learn it.
Clarity moves that decision to the front, where it's cheap. Seventy-five hundred dollars to know exactly what to build, why it beats the alternatives, and what it will take — against a build that can run $200K and a quarter aimed at the wrong target. It surfaces the architecture gaps now, while they cost a conversation instead of a mid-build rewrite.
It also closes the gap nothing else covers. A strategy firm can name an idea but can't read your architecture or build it. A dev shop will build whatever you hand them, right or wrong. Clarity does both halves — the aim and the foundation — because the person doing it has shipped production software, not just slide decks.
of AI pilots never deliver measurable ROI (MIT)
How It Works
Week 1 — Discovery
We go deep on your business in working sessions — your product and where it's headed, the data you already hold, the systems AI would have to live inside, and the jobs your customers are actually trying to get done. This is where the whiteboard comes out: I map the territory with your team in the room, and the candidate ideas surface from what's really there, not from a list of AI trends.
End of week one: a mapped view of your product, data, and systems, and a shortlist of candidate AI ideas grounded in your business.
Week 2 — Scoring & architecture read
I score each candidate on two axes — the value it creates for the business, and the feasibility of actually building it on your stack — and the Big AI Idea is the one that wins on both. Then I read the architecture standing between you and building it: the data model, the integration points, the standards and patterns that have to exist first. The runners-up get documented too, with the reasoning, so the choice is defensible.
End of week two: the Big AI Idea named and scored, the runners-up documented, and the architecture gaps identified.
Week 3 — Roadmap & handback
I sequence the build into a roadmap — phases in order, dependencies, what to build first and what each phase needs — scoped to your team and your stack. Then we sit down for a readout: I walk you and your leadership through the idea, the field it beat, the gaps, and the plan, and answer the hard questions live. You leave with a document built to be forwarded.
End of week three: a sequenced build roadmap and a readout you can take straight to your board.
What You Get
The Big AI Idea, scored
The single highest-leverage thing AI should build in your product — named, and scored on value and feasibility, with the reasoning laid out so you and your most skeptical engineer can pull it apart.
The field it beat
The two or three runner-up ideas, each scored and explained — so you see the full set you chose from, and the decision holds up when your CEO or board asks why this and not that.
The architecture gap analysis
What in your current system stands between you and building it — data-model gaps, integration points, the standards and patterns you're missing — surfaced now, while they cost a conversation instead of a mid-build rewrite.
A sequenced build roadmap
Not a wish list. The phases in order, with dependencies and what each needs, scoped to your team and your stack — detailed enough to hand to your engineers, or any builder, and start.
A build-level read
Where this idea sits on the spectrum from off-the-shelf to fully custom — how much your team builds, how much AI does, how much you buy — so you know the real shape and cost of the build before you commit to it.
The readout session
A working session where I walk you and your leadership through all of it and field the hard questions live — with your board's likely objections already anticipated.
One forwardable document
Everything captured in a single document built to be sent — to your CEO, your board, your team — so the decision and the plan don't live in one person's head.
You stop guessing. You know.
You walked in with a sense that AI mattered and a list of maybes. You walk out with one named, scored idea, the gaps between you and shipping it, and a roadmap you can act on — no more betting a quarter and six figures on a hunch.
You can take it to your board with evidence instead of a pitch. You can hand it to your engineers and start, bring me in to build it, or take it anywhere else — it's yours, and it stands on its own. And if it turns out AI isn't the right move right now, you'll know that too — before you spend on finding out the hard way.
Find out what to build — before you build it.
Clarity is three weeks to the Big AI Idea, the gaps, and the roadmap. It starts with a 30-minute Discovery Call — no pitch, just an honest read on whether it's a fit and where you'd start.