case studies
From AI enthusiasm to a governed experiment
An illustrative scenario for connecting an AI opportunity to a business outcome, risk boundary and measurable experiment.
Claim boundary: Illustrative scenario. It is not a client engagement, testimonial or quantified performance claim.
Context
Several teams are proposing AI use cases, but ownership, data readiness and acceptable risk are not aligned.
Challenge
The organization risks launching disconnected prototypes without a shared decision or governance model.
Illustrative approach
- Select one business-led decision or workflow.
- Define data, human-review and risk boundaries.
- Specify acceptance evidence before implementation.
- Run a limited experiment with an explicit stop, adapt or scale decision.
Expected outcomes
- The use case is connected to a defined business outcome.
- Human accountability and risk controls are visible.
- The experiment produces evidence for the next investment decision.
Evidence to collect
- Baseline workflow measure
- Data and governance readiness record
- Experiment result and decision rationale
Limitations
The scenario does not establish that AI is the correct intervention. The experiment may support a decision to stop or redesign the use case.