AI Strategy & Architecture
Use-case discovery, technical assessments, and roadmaps — invest in AI where it actually pays back.
Most AI budgets go to the wrong use cases. I help you find where AI actually creates value, sequence the work realistically, and avoid the architectural mistakes that prevent you from scaling later.
What I help with
Use-case discovery & prioritisation
Structured assessment of your processes and data against AI opportunity. You leave with a ranked shortlist — scored by value, feasibility, and risk — not a generic wish list.
Technical architecture review
I assess your current AI, data, and cloud setup, identify what will prevent you from scaling, and give clear, prioritised recommendations. No fluff, actionable steps.
Roadmap & business case
A phased plan with realistic cost estimates, expected returns, and the prerequisites for each step — defensible to your CTO and CFO.
EU AI Act & governance
How the Act applies to your systems, what obligations you actually have, and how to build the technical controls to meet them — before it becomes a launch blocker.
A typical discovery sequence
| Focus | Working output | |
|---|---|---|
| Start | Process & data mapping | Opportunity longlist |
| Next | Scoring & feasibility | Ranked portfolio |
| Optional | Roadmap & business case | Phased plan + budget |
The work is billed by actual effort at the agreed hourly or daily rate. The sequence and estimate provide orientation; priorities can change as findings emerge.
Typical outcomes
- Clear picture of which AI use cases are worth building and in what order
- Architecture weaknesses identified before they block scale-out
- A roadmap your team can execute — with or without me
See examples in practice · How I work · Discuss your AI roadmap