Generative AI should improve retrieval and decisions, not just produce more text.

This service covers internal assistants, enterprise search, RAG systems, knowledge workflows, and answer quality. The emphasis is retrieval discipline, citation quality, workflow fit, and evaluation, not generic chatbot demos.

Example use cases

Documentation and policy assistants
Internal search and question-answering systems
Knowledge copilots for operations, support, or field teams
RAG workflows that require evaluation and source-quality controls

Linked services

Often paired with AI Implementation and AI Governance & Evaluation.

Use the public RAG Evaluation Framework to define evidence, metrics, and release gates.

See those layers applied in the worked RAG evaluation walkthrough.