01
Assess
Understand what is already happening across the organization, where people are experimenting, where expertise gets trapped, and which opportunities are worth executive attention.
Services
You do not need an AI transformation program because everyone else has one. You need a clear view of where AI can help your company, what is worth doing now, and how to make progress without creating a mess.
01
Understand what is already happening across the organization, where people are experimenting, where expertise gets trapped, and which opportunities are worth executive attention.
02
Give leadership a shared, plain-language view of what agentic AI can do, what it cannot do, what the risks are, and what a sensible level of ambition looks like for your company.
03
Use a small prototype or focused pilot to test a high-value idea before committing to a larger platform, team, or investment.
Typical engagements
A practical view of where your company is today, what is fragmented, what is risky, and where the next few investments should go.
Cut through the buzzwords, pressure-test assumptions, and leave with a shared understanding of what matters for your organization.
Prioritize a small number of workflows by business value, scientific value, feasibility, risk, and how much expert time they can give back.
Build just enough to learn whether an idea is worth pursuing, then make the next ownership and investment decision with evidence instead of hype.
How I work
I am there to help leadership make good choices about AI so scientists, engineers, and product teams can move faster on the work that makes the company special.
Talk through where you are