Insight

Human-centred AI products need more than a model

A practical way to define AI features around user trust, error handling and measurable outcomes.

Useful AI products start with a workflow, not a prompt. Teams need to know where the user feels friction, what judgement the system should support and which errors are acceptable.

A good AI discovery sprint maps data access, user intent, review points and evaluation. It also defines what the product should refuse to do.

The result is a smaller first release, stronger confidence and a product team that can improve model behaviour with evidence instead of opinion.