One owner across AI strategy, architecture, design, and product. Three ways to start, matched to where your problem stands.
Two weeks, fixed scope. I interview the people who live in the workflow and map where your company's knowledge sits: in heads, documents, and systems. You get a decision map showing where automation pays, where humans stay, and what to build first. It's yours to execute, with me or with anyone.
When the problem is messy and there's no clean spec yet.
I join your team and work in your codebase. I find where AI takes real work off people's plates, bring you the proposal, and own the feature from concept to production: build, tests, daily releases, and an evaluation against criteria we set on day one. The person who understood the problem is the one writing the code, and I stay past the demo until the system earns its place.
When you want someone who finds the work, not just someone who takes tickets.
Iteration on something already live. Adoption is stuck, outcomes underperform, or the human-machine split needs rethinking. I evaluate against real use, rebuild the weak joints, and measure again.
When your last AI pilot didn't survive contact with real users.
A few sentences, however messy. No spec needed; messy is the normal starting state.
Free. I'll tell you honestly whether this is worth building, including when the answer is no.
I interview the people who live inside the workflow and come back with a written picture: where automation pays, where humans stay, what to build first.
You see working software every week, not a reveal at the end. You can stop at any slice.
Adoption, time saved, quality. If it doesn't earn its place, we rework the joint that failed.
Not sure which fits? Describe the problem and I'll tell you where to start. One honest boundary: if you need staff augmentation or foundation-model training, I'm the wrong call. My work starts where AI meets the people who use it.
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