An AI investment proposal
Assess value assumptions, data availability, process fit, running costs and measurable pilot gates.
AI OUTPUT & DECISION REVIEW
AI can suggest the answer.
Who tests the decision?
Independent human-led review of AI-assisted business recommendations, implementation plans and investment assumptions before management commits resources.
THE DISTINCTION
A fluent answer is not evidence.
AI can accelerate planning, coding, analysis and supplier comparisons. It can also present unsupported assumptions with confidence.
A business case assembled with AI still needs real inputs, realistic alternatives and accountable judgement.
An independent review asks where figures came from, what is measurable, what depends on vendor or AI claims, and what evidence is missing. AI can be used as a tool within analysis; its output is not presented as independently verified simply because it is coherent.
For AI readiness or implementation support, specialist scope can be agreed separately.
USE CASES
Decisions worth double-checking.
AI-generated financial scenarios
Separate model calculations from unsupported market, demand and margin assumptions.
A build-versus-buy recommendation
Check internal capability, integration, maintainability, vendor dependence and reversibility.
BEFORE APPROVAL
What a human-led challenge can establish.
What can be examined
Source documents you provide, model assumptions, internal consistency, feasible alternatives, implementation dependencies and risks.
What cannot be assumed
That external facts, code safety, financial outcomes or regulatory compliance are independently certified without the necessary testing and specialist scope.
BETTER DECISIONS WITH AI
Use AI for speed.
Use scrutiny for commitment.
Share the AI-assisted recommendation and the business question it is meant to resolve.