Prove one AI use case before scaling capital

The direct answer

Before an AI pilot starts, the organisation needs a named business outcome, a current baseline, an accountable owner, sufficient data and system access, risk controls, adoption responsibilities and a decision rule. Without those conditions, the pilot cannot prove value.

Use a 90-day pilot when

• one use case has survived commercial and readiness assessment
• leadership wants evidence before committing scale capital
• the baseline and success measures can be observed
• the operating team can participate in adoption and control design

What the pilot produces

• a documented baseline and success measures
• a bounded pilot design and implementation sequence
• human oversight, exception and risk controls
• adoption and operating evidence
• an executive result report with a scale, stop or refine recommendation

How success is measured

Success is defined before implementation. Commercial measures may include revenue, cost, cycle time or material risk. Delivery measures cover reliability and exceptions. Adoption measures show whether the operating team can use the change in real work. The final gate compares the evidence with the agreed threshold.

Entry conditions and limitations

A pilot should not start when the problem, owner, baseline or required access is missing. A successful technical demonstration is not enough to justify scale. Results apply to the defined use case and conditions, not automatically to the whole organisation.

Related paths

• Prioritise the use case
• Assess costly workflows
• Build the broader roadmap