AI and data advisory
The problem
Boards and executives do not need another tour of the technology. They need a defensible answer to three questions: where AI creates value, what it will take, and what risks need to govern.
We help organisations turn data and AI into practical, enterprise-level advantage. That spans identifying untapped value, assessing readiness, and designing fit-for-purpose strategy and governance. The difference is that the advice comes from people who have done it before, at scale.
Name the commercial or service problem before choosing a model, vendor or platform.
Test whether the data, systems, skills and decision rights support the ambition.
Quantify cost, benefit, risk and dependency so investment can be compared honestly.
Shape the technical approach, controls and accountability before delivery begins.
Sequence the work, define measures and stay close enough to correct course.
What we deliver
Problem
Scattered pilots, competing ideas and no agreed sequence for investment.
What we deliver
An AI and data strategy, a phased roadmap and success measures tied to business priorities.
What changes
A clear order of work that can be funded, governed and explained to the board.
Problem
A crowded market, inconsistent demonstrations and concern about lock-in.
What we deliver
An independent evaluation of vendors against capability, integration, cost, support and risk.
What changes
An evidence-based shortlist instead of a decision made on the best sales presentation.
Problem
Too many candidate use cases and business cases that do not survive scrutiny.
What we deliver
Quantified business cases and a prioritisation framework covering value, feasibility and risk.
What changes
Resources directed to the work most likely to justify itself.
Problem
Delivery risk hidden inside technical decisions that are hard for executives to test.
What we deliver
Architecture review, model and platform guidance, and advice on deployment and monitoring.
What changes
Fewer expensive corrections later, and clearer technical accountability now.
Problem
Pressure to deploy faster than the controls, decision rights or evidence allow.
What we deliver
A governance framework covering risk assessment, data use, human oversight, monitoring and escalation.
What changes
Teams can move with a documented basis for decisions and clear ownership of risk.
Problem
AI licences are purchased, but leaders and teams do not know how to use them well.
What we deliver
A literacy and adoption plan, with hands-on executive development through Fluency where appropriate.
What changes
Leaders can sponsor, question and prioritise AI work with first-hand understanding.
Why trust this advice
The people in the room have led enterprise AI, data and transformation programmes across regulated industries, large platforms and high-growth businesses. They also work alongside the engineers and researchers who build the technology.
That means the strategy has to survive contact with delivery — and the delivery team understands why the work matters.
The supplied case studies are shown on the homepage evidence section, and they are not all advisory strategy engagements.
Strategy conversation