As access to AI becomes easier, the question remains of which business problem and decision-making process to connect it to. Efforts that move toward tool selection and investment before the need is clear often remain at the pilot stage. That is why I believe in starting by defining the organization's actual need.
Evaluating the output
People are responsible for questioning AI's output, placing it in context, and deciding whether it is useful. Critical thinking, problem definition, and decision-making skills matter here. As AI becomes part of everyday work, teams also need to work on these capabilities.
Starting with a limited task
The first step might be to define, in a single sentence, the business problem where AI will be used. The decisions requiring human approval and the steps AI will take over are set out separately in writing. A small pilot is then tried on a limited task. The result is evaluated in terms of both time saved and output quality. This allows technology's contribution to be considered alongside people's responsibility for evaluation and decisions.
