AI programmes often lose momentum when teams begin with tools rather than outcomes. A more reliable starting point is to identify recurring work, decision bottlenecks, information-heavy processes and customer journeys where better access to knowledge or automation could create measurable value.
Score opportunities across three dimensions
- Value: What improvement would matter to the organisation?
- Feasibility: Is the data, workflow and integration environment ready?
- Risk: What security, privacy, accuracy and governance controls are required?
The strongest early use cases tend to combine visible business value with manageable technical complexity and clearly defined human oversight.