07 · AI Strategy & Governance
What does an AI strategy and governance engagement cover?
It covers four things most AI programmes skip: where AI creates durable advantage rather than a demo, what has to change in roles and data infrastructure to make that real, how the work is governed as it scales, and why the resulting business model is hard to copy. The output is not a list of use cases — it is an operating design, a governance model, and an honest view of cost, risk and return.
Outcomes
What you walk away with
- A ranked view of where AI creates advantage, and where it does not
- An operating design covering people, data and process
- Governance that scales with use rather than blocking it
- A defensible model competitors cannot replicate by buying the same tools
Deliverables
What gets produced
Advantage map
Use cases scored on defensibility and economics, separating durable advantage from theatre.
Operating design
Roles, decision rights, data infrastructure and process changes needed for AI to be load-bearing.
Governance framework
Risk classification, human oversight, evaluation and audit — proportionate, and built to scale.
Cost and ROI model
Total cost of ownership including inference, data, integration and the human review loop.
Process
How the engagement runs
01
Locate advantage
Assess where your data, distribution or workflow makes AI defensible rather than commodity.
02
Design the system
Operating model, data foundations and governance designed together, because they fail together.
03
Prove and scale
A first workflow taken to production with measurement, then a scaling path with guardrails.
The AI layer
What changes in this service now that AI is load-bearing rather than experimental.
- Responsible and sustainable AI built in from day one, not bolted on after audit
- Organisational intelligence: how the company learns, not just what it automates
- Business model design where AI compounds an advantage you already hold
Who this is for
- Boards that need a defensible answer on AI, not a pilot portfolio
- Scale-ups deciding what to build, buy or ignore
- Enterprise leaders whose pilots never reached production
Related services
What usually runs alongside this
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