Find where AI is worth the work.
Opportunity mapping, pilots that prove value fast, and the operating model to decide what is worth taking into production.
Why this is hard.
Some tasks benefit from AI. Others need better data, a simpler integration or a clearer process. We assess the opportunity, the available data and the risks before recommending a pilot.
The typical failure modes are both extremes: analysis paralysis (twelve months of strategy, nothing shipped) or scattered experiments (ten pilots, none in production). Transformation needs engineering discipline, not just advice.
What we do.
- AI opportunity assessment — a ranked map of where AI genuinely moves your numbers, and where it doesn't
- Rapid pilots — scoped builds that prove (or kill) an idea with real data before you commit budget
- Adoption roadmap — sequencing, build-vs-buy calls and the business case for each step
- Process redesign — reshaping workflows around AI assistance rather than bolting tools onto old processes
- Team enablement — training your people to work with AI tooling and own what we build together
- Governance and risk — data privacy, model risk and compliance handled from day one, not retrofitted
What you get.
To evidence, not opinions
Pilots deliver working proof against your data fast — so investment decisions are based on results.
A roadmap you can fund
A prioritised, costed sequence of AI initiatives tied to business outcomes — not a technology wishlist.
From pilot to practice
The operating model, tooling and skills to run AI in production across the organisation.
What are you working on?
Fragmented data, a process to automate or a system to build — tell me what needs to change.
Let’s talk
Book a free 30-minute chat with me. We’ll see whether I can help.