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.
7 min read
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.
Make the next move
Where will you take the idea?
Build your own skills with a programme, or share your organization’s needs to discuss a training or consulting scope.