Process & tooling

Integrate evals, policy gates, and security checks into CI/CD with explicit alignment between technology teams and oversight/control teams

Capture feedback on outcomes/overrides/failures and implement a managed loop (triage, prioritise, release fixes, verify impact)

Expand from logging GenAI use cases to registering agent bundles, autonomy levels, tools/connectors, permissions, and deployment endpoints as part of a governance platform

Monitor agent workload patterns and downstream tool/system health, not only model APIs and supporting services

Treat evaluation as a product and tooling capability - datasets, harnesses, trajectory evals, red teaming, acceptance thresholds, and regression gates, not a light-touch checklist

Document and version critical processes (inputs, decisions, exceptions, controls, handoffs) that agents will execute or influence

Track tool calls, retries, overrides, boundary hits, and failure modes, not just prompts/outputs

Manage releases as bundles (agents + model + tools/connectors + policies + prompts + memory/config), with controlled rollout and rollback

Treat data changes as production changes impacting agent behaviour, not background hygiene

Classify agents by action types, autonomy tier, risk tier, data sensitivity, tool access, and operational criticality

Track maturity of controls, monitoring, adoption, and operational outcomes per agent/domain

Create SOPs for operating with agents - human intervention points, exception handling, escalation, and day-to-day run patterns

Implement approvals based on risk tier and evidence, while requiring human review for higher-risk classes regardless of test results

Map end-to-end dependencies for autonomous chains - applications, external connectors, external databases, event streams, model gateways, policy engines

Update post-live prioritisation principles to balance risk reduction, stability, and outcome improvements, not just feature delivery

Define how live agents are tuned and updated - configuration management, policy updates, safe rollout, and rollback - rather than informal prompt tweaking

Use conformance checks (process mining/telemetry, exception rates, control-point adherence) to ensure reality matches documented process

Operate a KRI-driven alerting regime for agent fleets, beyond basic monitoring, with defined thresholds and response playbooks

Build repeatable harnesses to simulate workflows, tool failures, adversarial inputs, and boundary violations

Add readiness gates for autonomy (fallbacks, escalation, evals, logging, access), beyond content checks

Combine outcome measurement with role-based reporting - goal completion, quality, business KPIs, and committee-ready views, not just user satisfaction

Retire agents safely by removing tool access, archiving evidence, and migrating workflows

Add safe sandboxes for tool actions and controlled test data where appropriate, not only staging for chat/UI

Run PIRs focused on autonomy breakdowns, control failures, and tool-chain issues, with tracked remediation