AI product consulting
Most AI projects are theatre. I help you build the ones that aren't.
Twelve years shipping product in fintech, SaaS and regulated enterprise. I tell you which of your AI ideas are real, then build them.
Twelve years across
- T-Systems
- Deloitte
- ExxonMobil
- Novo Nordisk
- AltaML
- Cence
The problem
Everyone is being asked what their AI strategy is.
Most answers are a list of features with "AI" written next to them. An AI project is theatre when the AI adds nothing a rules engine, a database query or a search box could not already do.
Caught early, that costs you a conversation. Caught late, it costs a quarter of engineering time and the credibility you spend asking for the next one.
Almost none of this is anyone's fault. The pressure is real, the vendors are loud, and nobody on the team is incentivised to say "this one isn't AI."
Triaging AI proposals inside a regulated European enterprise, I assessed 40 use cases and filtered out roughly 1 in 10 as not genuinely AI — before any budget was committed.
MIT Project NANDA, State of AI in Business, 2025What I do
One question, three ways to work together.
AI Reality Check
An AI Reality Check is a fixed-scope, one-week diagnostic. Bring me your AI roadmap and I score every idea against the same six questions, then hand back three lists: what's real and worth building, what's theatre, and what's blocked until something changes.
€1,500 STARTUP · €3,500 ENTERPRISE
AI Build
Once we know what's real, I ship it — built to survive the security and governance conversations instead of stalling in them. Or €6,000–12,000 fixed scope.
How it works →Fractional AI Product Lead
When you need someone senior owning the AI roadmap rather than advising from the sidelines. About a day a week, embedded in your team.
How it works →Where are you?
Two different problems, same first step.
Building your first AI feature
You have a list of ideas and pressure to pick one. You need someone to tell you which is worth the quarter, then help you ship it without a six-month detour.
Running AI across an organisation
Use cases stacking up, a governance conversation you can't avoid, and nobody senior owning the whole thing. You need judgment that holds up in front of a board.
Working with one person
The questions you're already thinking.
What if you get hit by a bus?
Every engagement produces written artifacts — the scoring, the reasoning and the build order. If I disappear, your team carries on from the documents. For longer engagements I name a backup before we start.
Do you have capacity?
I run a small number of engagements at once and I'll tell you honestly if I don't have room. A late no costs you more than an early one.
Can you handle security and confidentiality?
I've worked inside a regulated European enterprise under its security review process. NDAs as standard, and I'll work inside your tooling and access controls.
What about procurement?
I invoice as a registered business, handle POs, and I'm set up for EU VAT and reverse-charge.
Why would you tell me not to build something you could charge me to build?
Because the fee isn't contingent on me recommending more work. A diagnostic that only pays if it sells you something isn't a diagnostic. I'd rather be the person you call next time than the one who billed you for a quarter you didn't need.
Your turn
What's on your AI roadmap that nobody's willing to question?
Bring me your list. Every idea scored, the theatre named, and a build order you can defend to a board.