The best AI feature is usually attached to an existing user goal rather than presented as a separate novelty.
Begin with a workflow that has expensive searching, summarizing, classification or repetitive drafting. Define the quality bar before choosing a model or architecture.
For knowledge-heavy use cases, retrieval can improve relevance and source traceability. For high-impact actions, include clear review, permission and fallback states.
Instrument usage and correction signals so the team can learn where the AI is useful, where it is ignored and where users override it.
APPSBIZ perspective
The right implementation depends on product context, users, data, compliance and team constraints. Treat these notes as a decision framework rather than a universal architecture prescription.