Operating improvement
AI Readiness & Adoption
Most AI programmes stall because they start with a tool instead of a bottleneck. We identify where AI changes the economics of your operation, then build the pilots that survive contact with production.
- Typical timeline
- Assessment in 3–4 weeks; pilots scoped individually
- Best suited to
- Leadership teams asked what their AI plan is — and wanting a real answer
- Commercial model
- Fixed fee, agreed before kickoff
What you get out of it
Outcomes
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A shortlist of use cases ranked by value and feasibility, not novelty
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Honest assessment of whether your data can support them
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Governance that lets you move without creating new risk
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Pilots designed with success criteria agreed in advance
Scope
What we actually look at
Scope is confirmed with you in writing before the engagement begins. Anything outside it is priced separately rather than absorbed quietly.
Opportunity
- Where labour cost concentrates in repeatable judgement work
- Volume, variance and error cost by process
- Use cases benchmarked against comparable deployments
- Realistic value range, stated as a range
Foundations
- Data availability, quality and accessibility
- Integration points and system of record constraints
- Security, privacy and residency requirements
- Existing licences that already include the capability
Governance
- Acceptable use and human-in-the-loop boundaries
- Evaluation, monitoring and rollback plans
- Vendor and model selection criteria
- Training and change management for the people affected
Deliverables
What lands on your desk
Written to be read by the people who have to act on it — an operator, a CFO, an investment committee — not to justify the fee by weight.
- 01
Prioritised use-case portfolio with value and effort estimates
- 02
Data and integration readiness assessment
- 03
AI governance and acceptable use framework
- 04
Pilot plan with defined success criteria and exit conditions