A clerk’s generative forms helper must fail the release pipeline when Foundry evaluation metrics regress. How should GenAIOps wire that gate?

Wiring Foundry automated evaluation workflows so GitHub Actions fails on metric regressions is correct because GenAIOps treats quality and safety scores like automated tests for generative changes. A clerk’s generative forms helper that can regress on groundedness, relevance, or safety must fail the release pipeline before residents receive worse form guidance. Microsoft Foundry evaluation workflows can score prompts and models against municipal eval sets and surface regressions; integrating those results into GitHub Actions makes the gate enforceable rather than advisory.

Wiring Application Insights live metrics alerts so GitHub Actions fails on metric regressions fails because live metrics track operational signals like latency and failure rates, not Foundry automated evaluation scores for groundedness, relevance, or safety against the eval set. Wiring Foundry evaluation outputs as build artifacts so GitHub Actions fails on metric regressions fails because uploading outputs as artifacts only stores files for review; it does not score them against thresholds or fail the workflow when metrics regress. Wiring Foundry evaluation jobs on production traffic so GitHub Actions fails on metric regressions fails because production-traffic jobs run after deployment when residents are already exposed; they cannot gate the release pipeline before promotion.

Exam caveat: evaluation-as-gate means automated scoring in the pipeline, failing the build on threshold breach or regression versus a retained baseline—not Application Insights live-metrics alerting, not build-artifact storage, and not production-traffic evaluation after deployment. Foundry workflows plus CI integration is the exam-aligned GenAIOps pattern.

Operational check: attach the forms-helper eval suite to the pull-request or release workflow, store historical metric baselines, configure GitHub Actions to fail when Foundry reports regression beyond tolerance, block merge/deploy until scores recover, and review failed runs in the clerk’s GenAIOps standup before retrying promotion.