You are adding AI features to internal workflows and developer environments, where answers need to come from trusted internal documentation rather than model memory. A practical approach is to build a grounded assistant that can retrieve product docs, engineering runbooks, API references, and support guidance before generating a response.
How would you integrate modern AI capabilities into internal workflows and developer environments?