How I can
help

Most organizations have experimented with AI. Few have made it reliable. The gap between a demo that impresses and a system that delivers consistently is almost always a data and architecture problem, not a model problem.

I help organizations think clearly about which AI use cases are worth pursuing, how to build prompts that produce repeatable output, and how to design the feedback loops that make AI get better over time rather than drift.

Data infrastructure is unglamorous work. It's also the reason some organizations can move fast with data and others can't. I've built data systems across five industries and the pattern is consistent: the organizations that invest in the foundation early spend less time fighting fires later.

I advise on the systems that make data reliable, accessible, and trustworthy. This matters most at inflection points: rapid scaling, an AI initiative, a fundraise, or an acquisition where your data will be scrutinized.

Sometimes you don't need a project. You need a thinking partner who has seen the problem before in a different context and can help you see it clearly.

I work with founders, executives, and teams on a limited advisory basis. This might look like a single working session, an ongoing sounding board relationship, or a focused sprint on a specific challenge. It starts with a conversation.