AI adoption at work: start with a use case, not a tool
Practical steps for selecting valuable use cases, governing data, and defining human oversight before scaling.
Problem first
Trying multiple tools without a clear operational goal consumes time without building capability. Start with a repetitive process or a decision that needs better information, then assess risk and expected value.
- Define the desired outcome and success measure.
- Define which data may be used.
- Make human review explicit at decision points.
Pilot small, then learn
Choose a focused team, document the current method, and test both success and failure scenarios. Scale based on evidence, not novelty.