Services

AI opens the door.
Strong product strategy determines where it takes you.

I work with companies to turn AI ambition into outcomes. From making the right bets early to measuring real impact after launch. Whether you need strategic clarity, fractional PM leadership, or a structured way to govern AI responsibly, I bring a decade of product experience and deep AI focus to the work.

How I engage

Ways to work together

Depending on what you need, I can work hands-on inside your team or help your team build the capability to move forward themselves, or combine both.

Areas of support

I can come in at any phase of the build cycle or across all of them. The engagement is scoped to what your situation actually needs.

01
Strategy & Opportunity Definition
Where can AI create meaningful value? Identifying, shaping, and validating high-value opportunities where AI can improve customer outcomes, operational performance, or business results, not just where it is technically possible.
Typical deliverables
AI opportunity mapPrioritized use case portfolioProblem and opportunity framingBusiness value hypothesisFeasibility assessmentExecutive decision memoGo or no-go recommendation
02
Planning & Prioritisation
What is worth building first? Translating validated opportunities into clear, testable product bets with a roadmap the organization can align around and a rationale for every priority call.
Typical deliverables
Prioritized roadmapMVP scopeRequirements briefDecision rationaleTrade-off analysisStakeholder alignment plan
03
Execution & Delivery
How do we get it built? Leading cross-functional execution to move AI initiatives from concept to shipped product while managing scope, reducing risk, and removing obstacles before they become blockers.
Typical deliverables
Product requirements documentDelivery roadmapSprint or milestone planRisk and dependency trackerLaunch readiness checklistPost-launch learning agenda
04
Value Measurement & Experimentation
How do we know whether it is working? Defining how success will be measured, connecting product metrics to business outcomes, and creating the feedback loops needed to learn from real-world performance.
Typical deliverables
KPI frameworkMeasurement planExperiment designDashboard requirementsPost-launch monitoring frameworkExecutive impact narrative
05
Operating Model & Team Enablement
How does the team build this capability repeatedly? Helping teams create the skills, rituals, roles, and decision-making practices needed to build better AI-enabled products without relying on one-off heroics.
Typical deliverables
Operating model recommendationsTeam capability assessmentProduct discovery playbookPrioritisation frameworkWorkshop materialsReusable templates
Where I Focus

The AI challenges I work on show up across industries

I help companies turn AI ambition into practical product outcomes, regardless of industry. The work starts with the problem: where can value be created, what should be built, how it will be adopted, and how success will be measured.

AI value is not created by algorithms alone. Most of the work — and most of the risk — lives in people, processes, and the systems around the model.

10% Algorithms

The model itself is rarely where programs succeed or fail.

20% Technology & data

Infrastructure, pipelines, and data quality matter — but are solvable.

70% People & processes

Where product strategy, operating practices, stakeholder alignment, and adoption become critical.

Source: BCG — Artificial Intelligence

Typical challenges include

Finding the right use case · Moving from pilot to production · Building adoption and trust · Aligning product, technology, and business stakeholders · Measuring impact

Let's talk

If any of this resonates, let's find out if there's a fit.

A first conversation is 30 minutes, focused, and no obligation. We'll talk about where you are, what you're trying to achieve, and whether working together makes sense.

Let's connect