AI Integration & Production MLOps

Updating a knowledge base can improve coverage but also introduce duplicate, contradictory, or poorly structured sources. The assistant may cite a document while still using unsupported details in its answer. What to check Build before-and-after questions tied to the changed documents, inspect citations and quoted evidence, and measure unsupported...

Role-based answer differences may be appropriate when users have different permissions, but they can also expose inconsistent retrieval, missing context, or a cache shared across roles. What to check Run the same questions with controlled role accounts, compare sources, permissions, citations, and cache behavior. Verify whether differences match...

An AI assistant may misread scanned pages, tables, handwritten notes, or low-quality uploads and produce a plausible summary with missing details. Successful file ingestion does not prove the content was extracted correctly. What to check Compare extracted text with the source pages, inspect OCR confidence and table handling, and test documents with...

An evaluation set can become stale as products, policies, and customer language evolve. A model may score well on old examples but fail on new intents or changed terminology. What to check Review recent query categories, unanswered questions, escalation reasons, and source changes. Compare evaluation coverage with actual usage while removing sensitive...

An AI assistant can continue producing fluent answers while citations disappear after a model, prompt, or retrieval change. Users may then be unable to verify whether important claims came from approved sources. What to check Track citation presence, relevance, and source availability by task and version. Test questions with known supporting documents...

An assistant may repeat the same answer after a user corrects a premise because conversation state is not updated, retrieval dominates context, or the model does not acknowledge uncertainty. This frustrates users and may spread incorrect guidance. What to check Evaluate multi-turn conversations with explicit corrections. Check context window handling,...

An AI assistant may continue using old policy after a source is updated if the index refresh is delayed, caches persist, or old copies remain searchable. Successful ingestion does not prove retrieval switched to the new version. What to check Track source version, ingestion completion, effective date, retrieval results, citation links, and cache...

An AI assistant may state contract terms, service commitments, or legal interpretations that are not supported by approved documents. Fluent wording can make unsupported claims seem authoritative. What to check Create evaluation cases from current approved contracts and policies, inspect citations, and track unsupported assertions by task and release....