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Manage change

Model, prompt, policy, retrieval, memory, tool, and orchestration changes can alter behaviour without changing the public API. Treat them as controlled production changes.

Classify changes

Change class Examples Minimum response
Routine non-behavioural documentation, approved dependency patch normal engineering controls
Behavioural prompt, model parameter, retrieval ranking, policy threshold targeted evaluation and monitored rollout
Capability new tool, memory, external action, autonomy, agent delegation risk/scope reassessment and ORF selection review
Data new knowledge source, classification, user segment, retention data/privacy assessment and retrieval/evaluation update
Emergency security fix, model/provider outage response expedited approval with retrospective review and evidence

Before change

  • assign a change ID and owner;
  • record affected artefacts and stable before/after versions;
  • assess risk, data, and ORF applicability impact;
  • select regression, safety, security, and reliability tests;
  • define canary/shadow population where appropriate;
  • set success, pause, and rollback thresholds; and
  • confirm rollback or safe-forward path.

During rollout

Separate the changed cohort in telemetry. Monitor evidence coverage, errors, timeouts, latency, cost, refusals, handovers, critical-task performance, safety signals, and user feedback appropriate to the change. Do not mix versions in an aggregate that prevents comparison.

After rollout

  • compare agreed before/after metrics;
  • review representative traces and flagged sessions;
  • confirm no unexpected data or tool path appeared;
  • record final accept/rollback decision;
  • update inventories and baselines; and
  • schedule longer-window follow-up for slow signals.

Emergency changes

Record what approval was bypassed, why delay would increase risk, who authorised the exception, what monitoring compensates, and when retrospective evaluation/review will occur. Emergency does not mean unlogged.

ORF items supported

Change management relies particularly on ORF-AGT-12, ORF-AGT-13, ORF-AGT-14, ORF-GOV-01, and ORF-GOV-03, with performance, safety, reliability, and user metrics chosen for the affected risk.

Done when: every material production behaviour can be attributed to a known version and approved change, with evidence showing whether rollout thresholds were met.

Next: Measure adoption