Put the evidence before the commitment.
An AI proposal can look compelling before its assumptions have been tested. We help leadership teams assess the business case, examine the available evidence, and identify what still needs to be established.
The AI Decision Review
A focused, commissioned assessment of one use case, proposal, or supplier decision. The scope is built around the choice your organization needs to make.
Questions it can address
- Does the proposed use case address a material business need?
- What evidence supports the supplier's claims, and what remains untested?
- What would need to be in place before a pilot or wider deployment?
What you receive
- Decision brief
- The options, trade-offs, and unresolved questions.
- Evidence register
- The sources, their limits, and claims requiring verification.
- Practical next steps
- The checks, responsibilities, and measures needed to proceed, revise the plan, or stop.
What the working outline looks like
This is an outline of work to be done, not an assessment result.
AI Decision Review — working outline
Illustrative format, not client work
- Use case
- Internal knowledge assistant.
- Decision
- Whether to proceed to a bounded pilot.
- Evidence to examine
- Source traceability, answer quality, and access permissions.
- Open question
- How restricted documents would be handled.
- Options to assess
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- Proceed to a bounded pilot.
- Narrow the scope.
- Pause pending additional checks.
How assignments are scoped
The work may include desk research, stakeholder interviews, or an evaluation protocol. Technical testing is separately scoped and depends on suitable access and expertise. Scope, deliverables, and fees are agreed in writing before work begins.
Decision support, not certification or legal advice.
Broader work
We also scope commissioned research and ongoing advisory around a defined technology or commercial decision. Specialist requirements are agreed on before an assignment is accepted.