AI Evaluations and Operations
Test the answer before your customer does. These terms cover evaluation, regression testing, release management, knowledge gaps, and the operational work of keeping AI knowledge healthy.
Operations
AI Release Management
Controlled publishing of knowledge changes with impact review, gates, and approval before AI behavior updates.
12 min read
Operations
AI Change Management
Processes for reviewing, approving, and communicating knowledge changes that affect AI answers.
11 min read
Operations
AI Knowledge Gap
A topic users ask about that lacks adequate governed knowledge for a correct AI answer.
10 min read
Operations
AI Evaluation
Structured assessment of AI system behavior against defined quality and policy criteria.
8 min read
Operations
AI Regression Testing
Re-running answer tests after knowledge or policy changes to catch new failures.
7 min read
Operations
AI Observability
Visibility into retrieval, policy decisions, citations, and answer outcomes in production AI.
8 min read
Operations
AI Feedback Loop
Capturing user and reviewer feedback on AI answers to improve knowledge and tests.
7 min read
Operations
AI Coverage Gap
Missing knowledge or tests for topics your AI is expected to handle.
7 min read
Operations
AI Operations
Running AI knowledge systems as ongoing operational work: monitoring, testing, releases, and health.
7 min read
Related reading paths
- I need to keep sources current
- I need to test AI answers
Put this into practice
Testing, observability, releases, gaps, and running AI knowledge as an operation.
See answer testing