Evaluation harnesses
Versioned datasets run through the full system and score the outputs against explicit rubrics.
CAPABILITIES / GOVERNANCE AND OPERATIONS
Quality engineering
Evaluation that tells you when a system has drifted, before a customer does.
What this covers
Regression suites for model output
Known failure cases block releases when a prompt or model change brings an old error back.
Precision and recall targets
Thresholds are agreed by error cost and measured per class, not hidden inside one average.
Reviewer override tracking
Override reasons reveal where automation is wrong and where operating policy has changed.
Load and resilience testing
Traffic and dependency faults test whether queues, fallbacks, and recovery behavior hold under stress.
How it shows up in the work
ENTERPRISESMove governed AI into production.A review queue is a place where trained people apply rules to a stream of items. Agents can carry most of that load, if every decision arrives with the evidence behind it.ENTERPRISESOne platform for a growing agent workforce.The first agent is a project. The tenth is a platform problem. Shared retrieval, model routing, monitoring, and tuning are what make the second agent take weeks instead of months.ENTERPRISESCatch defects before they move downstream.Inspection that happens on a schedule finds problems late. Cameras and agents at the line can watch continuously and route what they find to the people who fix it.
WHERE IT FITS
Quality targets define the proof of value and remain release gates through the operate phase.
