An AI Product Manager owns the customer outcome and the behaviour of the AI system behind it. I work with founders and product teams to define the opportunity, scope the product, create evaluation criteria, manage model trade-offs and failure states, ship the roadmap and connect AI quality to measurable customer and commercial results.
Contract · Fractional · Advisory · UK based · Remote worldwide
WHEN COMPANIES BRING ME IN
The problem is rarely a lack of AI ideas. It is usually unclear ownership between customer need, product judgement and technical capability.
Your engineers can build the AI feature, but nobody owns whether customers actually want it.
You have a prototype, but no evaluation framework for deciding whether the AI is good enough to launch.
Product and engineering disagree about what a successful AI output looks like.
Your roadmap is a list of AI features rather than customer outcomes and commercial priorities.
You need senior AI product ownership, but you are not ready for a permanent hire.
The product works in a demo, but cost, latency, failure handling and reliability are still unclear.
WHAT I OWN
The role is not prompting. It is making the product decisions that determine whether an AI capability becomes something customers trust, use and pay for.
Find the customer problem where AI creates enough value to justify the complexity, then define the product outcome and scope.
Turn the strategy into one complete user journey and use working prototypes to improve the quality of discovery before expensive build work.
Define what good looks like, create evaluation criteria and connect AI quality to customer behaviour, retention and commercial outcomes.
Design confidence thresholds, human fallback, permissions and recovery paths so the product can survive real-world use.
Balance output quality against latency and cost per successful task instead of choosing models on benchmark scores alone.
Prioritise the roadmap, align product and engineering, ship the product and use customer evidence to decide what happens next.
I use the Crossley Method to move from Discover and Validate through Prototype, MVP, Launch and First Revenue without confusing speed with evidence.
AI PM vs TRADITIONAL PM
TRADITIONAL PRODUCT MANAGEMENT
AI PRODUCT MANAGEMENT
For the deeper role breakdown, read what an AI Product Manager actually does.
WAYS TO WORK WITH ME
The engagement model should follow the problem. I do not force every company into a retainer if a shorter intervention is enough.
Embedded · 3-12 months
Full-time product ownership for a specific AI product, launch or transformation when you need an experienced PM inside the team.
1-2 days per week
Ongoing AI product leadership for founders and teams that need senior ownership without a full-time hire.
Focused senior input
Roadmap, evaluation, model choice, product strategy and launch decisions for teams that already have day-to-day product ownership.
Choose an AI Product Consultant when you need senior diagnosis, strategy or a defined product decision. Choose an AI Product Manager when you need ongoing ownership of the roadmap, evaluation, delivery and outcome. If the need is company-wide product leadership, a Fractional CPO is the better fit.
PROOF
My product judgement comes from operating products, not only advising on them.
Founded and led a SaaS platform from 2020 to 2025, scaling to 300+ venues with a reported £2.7M pre-money valuation.
Founder and CPO of a community carpooling platform, giving me direct experience of early-stage product, marketplace and operational decisions.
Hands-on work across AI prototypes, evaluation, production readiness, workflow design and commercial launch through founder products and client engagements.
FREQUENTLY ASKED
Tell me what is built, where the team is stuck and what outcome matters. I will tell you whether the right shape is contract, fractional, advisory or a shorter consulting engagement.
AI PRODUCT MANAGEMENT INSIGHTS
Use these guides to understand the role, the skills it needs and where AI Product Management differs from traditional product work.
The responsibilities that matter across customer discovery, evaluation, model trade-offs, launch and product economics.
Read the guide GUIDEWhat changes when the product includes probabilistic models, evaluation, failure states and usage-linked AI cost.
Read the guide GUIDETwelve skills that increasingly decide whether a product manager can turn judgement into measurable outcomes.
Read the guideEXPLORE NEXT
Every stage from first idea to first revenue, mapped end to end.
Contract, fractional and advisory engagements — current availability.
Read moreTurning LLMs, RAG and agents into products that hold up in production.
Read moreProduct leadership on retainer for pre-seed and seed teams.
Read moreThe seven-stage framework that takes an idea to first revenue.
Read more