01
Begin with a decision or task.
Start by identifying the work the system should support, the people involved and the result they need. A narrow, testable use case creates a clearer basis for design and evaluation.
Insight
AI operating models.
A practical structure for putting intelligent systems into real organizational workflows.
← All insightsThe working idea.
Useful AI depends on more than a model. It needs a defined task, reliable information, human responsibility and a way to observe what happens in everyday use.
This perspective is intended as a practical starting point. The right structure depends on the organization, users, information and responsibilities involved.
What to consider
02
Keep responsibility visible.
Define where people review, approve or correct the system. The interface should make sources, uncertainty and exceptions understandable to the person responsible for the outcome.
03
Measure behavior in context.
Evaluation should reflect the real workflow: relevant examples, expected failure cases, response quality and the time or effort required from the team using it.
Related capability
AI & Intelligence
AI assistants, document intelligence and decision-support tools connected to the work people actually do.
Explore AI & Intelligence ↗Discuss your context ↗