Services / Advise

Decide what to build with AI, and how you will know it worked.

For founders, product leads and engineering leads who need AI decisions made on evidence: which use case first, build or buy, and how a team should work with coding agents.

AI Product Advisory

You know AI should change your product or your operations. You do not yet know which use case pays off first, whether to build or buy, or how to tell a good result from a good demo.

Timeline
2-4 weeks for the first roadmap
How we work
Fixed-scope sprint, or part-time fractional AI product lead on a monthly basis

What you get

  • Use-case map ranked by value, feasibility and data readiness
  • Build-vs-buy memo with a cost model per option
  • 90-day roadmap with one success metric per milestone
  • Evaluation plan, so launch quality is measured instead of guessed

Proof

AI Coding Rollout

Your engineers already use Claude Code, Codex or Copilot. Nobody can say what it changed, what it costs, or what it is allowed to touch, and every team runs it differently.

Timeline
3-6 weeks
How we work
Fixed-scope rollout, then an optional monthly review

What you get

  • Usage policy and permission model per repository
  • CI gates that check AI-written changes before they merge
  • Token and cost reporting per team
  • Before and after delivery metrics
  • Team playbook your leads can run without us

Proof

Questions

Do you replace our product manager?

No. The work sits next to your team: a decision memo, a roadmap and an evaluation plan your people keep running after the engagement ends.

Can this be part-time?

Yes. After the first sprint, a monthly fractional arrangement is common: a few hours a week of review, planning and unblocking.

Which AI vendors do you work with?

Whichever fits the problem. Recommendations come with a cost model and a test on your own data, not a preferred vendor.