Service / 01
AI Strategy
We give executives a defensible view of where AI creates value in their organisation — and where it does not. The result is a costed, sequenced roadmap that your board and your engineers can both sign.
When you need this
The situations we are called into.
Your board is asking for an AI position and you need one grounded in evidence, not vendor decks.
Pilots are multiplying across departments with no shared architecture, budget, or measure of success.
You must decide between building, buying, and partnering — and the trade-offs are unclear.
A competitor has moved and you need to know what a credible response actually costs.
Approach
How the engagement runs.
Discovery
Interviews with executives and practitioners; review of your systems, data estate, and in-flight initiatives.
Opportunity mapping
Candidate use cases scored on business value, technical feasibility, data readiness, and regulatory exposure.
Architecture and sequencing
A target-state architecture and a phased roadmap, with dependencies and decision points made explicit.
Investment case
Costs, staffing, risks, and expected returns per phase — written for board approval, not for a slide library.
Deliverables
What you hold at the end.
AI readiness assessment
Prioritised use-case portfolio
Target-state architecture
Phased roadmap with budget envelope
Board-ready investment case
Related research
The evidence behind this practice.
Technical report · 2026
Evaluating large language models for regulated enterprise workflows
A practical evaluation framework for LLM systems in banking, insurance, and government contexts — metrics, test harnesses, and a taxonomy of failure modes.
In preparation
Contact
Talk to our engineers.
Describe the situation you are in. The person who replies is the person who would do the work.