AI use cases and team capability

It should surface the conflict and the relevant sources for review. The content owner decides which policy applies. Version, publication date and ownership help the assistant recognise differences, while evaluation examples check that it escalates the conflict appropriately.

Yes. We can evaluate retrieval and responses using a set of real questions before investing in the interface. That gives the team evidence about the sources and answers, which then informs where the assistant belongs in their working day.

Choose questions connected to a defined task, with source material and an owner who can assess the answer. Include frequent requests, difficult exceptions and questions that should be referred to a person. That becomes the initial scope and evaluation set.

Yes. Their work meets at requirements, acceptance decisions and feedback, so practising together helps each role understand the others. At PPL, the operating-method project covered Product, Engineering and QA, with design, build, testing, review and deployment practices developed on real work.

A real task, relevant examples and the authority to discuss how the work is done. Participants also need the agreed tools and access for that task. Their difficult cases help make the practice useful, and the engagement scope determines which activities we work through together.

Give them a small task, a worked example and someone to review it with. The operating guide should explain the decisions and checks as well as the steps. Comparing the new starter's attempt with the example shows where the guide or coaching needs improvement.