AI strategy & advisory
A senior second opinion on what to build, what to kill, and what to buy. Reports to your CTO or CEO. Output is a one-page bet list with sizing, not a 60-slide deck.
- Your CTO or CEO needs a defensible AI call this quarter
- You are evaluating a vendor, a build, or a senior hire
- You want to stop running pilots that go nowhere
- You already know what to build — go straight to Pilot or Build
- You want a 60-slide deck — I do not write them
How this ships
Stakeholders, current state, the real constraint. One workshop, then async interviews. No theatre.
What to build, what to kill, what to buy. Each line sized: cost, time, who owns it, what moves if it works.
A Pilot quote, a Build quote, or a hire spec — only if there is a real next step. Sometimes the answer is do nothing yet.
The work that backs this
The cases below are the ones I would point a sceptical buyer at first. The full bench lives on /work.
Templating engine powering 15% of the platform
Designed and owned the distributed templating engine. Cut customer setup time by 90% and became the system 15% of all content on the platform is created from.
Referral system that pays for itself
Architected and shipped the in-app employee referral engine as Tech Lead of the Incubation team. Now the platform’s top revenue channel.
How I price it
Most engagements start with the first option. The second is the natural next step or a smaller starting bet.
Want to talk about ai strategy & advisory?
Book a 30-minute call. I'll tell you straight whether this is the right shape for your problem.