01
Strategy and roadmapping
Identify the problems worth addressing, assess value and feasibility, account for data and operating constraints, and create an ordered plan.
Capability
Generative AI strategy and delivery
I help founders and established organisations decide where generative AI is useful, then shape and deliver work that can be tested in a real operating context. The aim is evidence, not an AI feature for its own sake.
02
AI product development
Design and build useful AI capabilities with explicit success measures, appropriate human review and a realistic route from prototype to production.
03
Product and system integration
Add AI to an existing product or workflow without ignoring reliability, security, privacy, cost and the surrounding user experience.
04
Workflow automation
Examine repetitive knowledge work, decide where automation is safe and valuable, and keep people in control where judgement or accountability is required.
Ways to begin
Two practical starting points.
These are example engagement shapes, not fixed packages. The scope follows the context and the evidence needed.
01
AI opportunity workshop
A focused piece of discovery to understand the context, identify credible use cases and produce a short, evidence-based list of opportunities, dependencies and next steps.
02
Focused AI pilot
A bounded delivery engagement around one useful feature or workflow, with a defined problem, success measures, security and data constraints, and a clear decision to stop, refine or scale.
A useful first step
Start with the decision in front of you
If you have an AI opportunity in mind, tell me about the problem, the people affected and what a useful result would change.
Start a conversation