AI CONSULTING & AUTOMATION / A PRACTICAL ANSWER
How do you choose a first AI use case for your business?
The short answer
Choose a first AI use case with a bounded purpose, accessible inputs, an evaluator and a useful fallback. The task should be important enough to learn from but controlled enough to test responsibly. Start with the work the team understands rather than a broad promise to transform the whole business.
What to establish
Compare candidate tasks using frequency, preparation effort, review effort, error consequences and information access. Record the current process and identify who can judge the result. A task that looks repetitive may still depend on context that has not been captured.
How to assess readiness
Choose a pilot with an explicit decision at the end: extend, revise or stop. Keep initial access and authority proportionate to the test. A demonstration that performs well on a few selected examples should not be treated as evidence that unattended operation is ready.
ILLUSTRATIVE EXAMPLE / NOT A CLIENT RESULT
Make it concrete.
Drafting an internal meeting summary for a person to check can be a more bounded first test than automatically sending personalised customer commitments. The distinction follows the workflow and its consequences, not a universal list of safe tasks.
Before you commission
- Compare total workflow effort and consequences.
- Choose an evaluator and representative examples.
- Define the pilot decision and fallback.
A plain-text worksheet. Downloading does not send us your details.
Further reading
FROM THE QUESTION TO THE WORK
A useful next step.
Bring the decision, the existing situation and the information you have. We can help define a scope before you commit to a wider project.
Explore the relevant service