The problem
Many organizations begin by asking which AI tool they should buy. That conversation usually happens too early.
Before selecting technology, identify a concrete friction point: a slow decision, an expensive process, an inconsistent experience or knowledge that is hard to find.
How we analyze it
We assess impact, frequency, data quality, risk and adoption capacity. If the case cannot be measured or has no business owner, it is not ready yet.
- There is a recurring and meaningful problem.
- The outcome can be measured against a baseline.
- Data, rules or knowledge are available.
- The team is willing to change how it works.
Our recommendation
Start with a focused use case that can be validated in weeks. The first implementation should create learning and evidence, not promise total transformation.