Useful AI begins with the work people already do. Define the decision, the human owner and the evidence needed to judge whether a change is worthwhile.

Describe the task types

Separate routine text, reasoning, image and sensitive work before assigning a model.

Set review rules

Define what can be automated, what needs human judgement and how exceptions are escalated.

Keep measuring

Track accepted outcomes, failure patterns, cost and provider changes over time.

Questions for your team

What is the current baseline? Which information and permissions does the task require? Who reviews the result and owns exceptions? What would show that the change works in everyday conditions?

Explore the CBA Framework ↗