AI evaluation in African organisations should be a release gate, testing real decisions, exceptions and users before a model enters live workflows.

AI incident response turns model failures into governed operational signals, helping African organisations stop harm, correct decisions and improve safely.

AI in public procurement needs accountable decisions, traceable evidence and meaningful review. Design these controls before institutional deployment.

A health worker in rural Uganda asks a medical chatbot a question in Luganda. The system returns a confident answer in English. The worker cannot verify whether the response is accurate, contextually appropriate or safe. This is not a translation problem; it is an evaluation problem.