Agent & RPA Operations Runbook

Purpose and scope

This runbook helps teams operate software agents, bots, and RPA reliably and safely. It focuses on preventing silent failures, keeping business logic observable and owned, detecting drift, responding to incidents, and controlling change. Use this document during onboarding, deployments, incidents, and periodic reviews.

Primary hunger

Operate agents reliably with clear monitoring, rollback, and ownership processes so automation delivers value without adding fragility.

Out-of-scope

This runbook does not specify vendor-specific installation commands for every RPA platform. Instead it provides generic operational practices and templates you can adapt to your platform and environment.

Ownership and roles

• Agent Owner (team or person): Responsible for behavior, business logic, runbook updates, and SLA for each agent.
• Platform Ops: Infrastructure, credentials, environment provisioning, and platform-level alerts.
• Monitoring/Observability: Maintains dashboards, alert rules, logging retention, and health checks.
• Security/Compliance: Approves access, secrets management, and change controls affecting agents.
• Incident Commander: Assigned during an incident to coordinate triage and communication.

Runbook hygiene

• Attach this runbook to each agent’s configuration or repository.
• Store a single source of truth (runbook, owner, and contact) in the team’s knowledge base and entitlement systems.
• Review the runbook after every major change and at regular intervals (quarterly or aligned to critical business cycles).

Deployment checklist (use before deploy)

1. Confirm owner and backup owner are recorded.
2. Validate code and business logic in CI: unit tests, integration tests, and contract tests where applicable.
3. Confirm secrets and credentials use approved vault and access policies.
4. Confirm environment parity or document known differences between staging and production.
5. Set and verify health probes and expected heartbeat behavior.
6. Register telemetry events and structured logs (fields: correlation_id, run_id, step, status, duration, error_code).
7. Define acceptable SLA and SLO (e.g., success rate, latency, throughput).
8. Deploy to canary/limited traffic and observe for a defined time window before full rollout.
9. Publish runbook summary and rollback plan to stakeholders.

Monitoring & alerting

Recommended signals and alert tiers:

• Health/Heartbeat: Agent last-seen timestamp. Alert if missing for X minutes.
• Success rate: Percent successful runs over rolling window. Page on breach of critical threshold.
• Error spike: Sudden increase in failure events or specific error codes.
• Latency/Throughput: Run duration or queue backlog beyond expected norms.
• Data drift: Changes in input data volumes, schema, or distributions that may cause logic failures.
• Resource/Platform: CPU, memory, disk, queuing failures, or dependency outages.

Alert severity and responder

• Severity 1 (P1): Business-stopping (e.g., >15% failure affecting customers). Notify Agent Owner + Incident Commander immediately and page on-call.
• Severity 2 (P2): Degraded function (e.g., failure rate above warning threshold). Notify Agent Owner via chat/email.
• Severity 3 (P3): Low-impact anomaly or observability gaps. Log for owner to review during business hours.

Incident triage flow (quick steps)

1. Confirm and classify impact (who is affected, business impact, scope).
2. Set incident commander and communication channel (incident bridge, chat room).
3. Gather evidence: last run logs, correlation ids, telemetry, recent deployments, config changes.
4. Check for common root causes: credential expiry, upstream API changes, environment drift, code errors, platform outages.
5. If risky to continue, execute rollback plan or disable agent (see Rollback section).
6. Apply mitigations (re-run failed items, clear queues, apply hotfix) with owner approval.
7. Keep stakeholders updated and record timeline in post-incident report.

Drift detection indicators

Track these to detect silent degradation:

• Shift in input volume or schema mismatches.
• Growing variance in run duration.
• Increased retry/backoff rates.
• Decline in automated coverage (test pass rate changes).
• Unexplained increase in manual interventions or tickets linked to the agent.

Change control / release template (use on every change)

Required fields:

• Change ID and summary.
• Agent name and owner.
• Risk assessment (low/medium/high) and justification.
• Rollback criteria and rollback steps (exact commands or toggles).
• Validation plan with success criteria and observation window.
• Scheduled maintenance window and stakeholder notification list.

Rollback & mitigation checklist

1. Stop new executions or switch to manual mode if supported.
2. Revert to previously known-good artifact (tagged build) and redeploy to canary first.
3. Clear or quarantine problematic queue items per policy.
4. Rotate or revalidate credentials if credential failure suspected.
5. Escalate to platform if infrastructure limits or outages are suspected.

Post-incident review

Document root cause, contributing factors, timeline, detection gap, and corrective actions. Update runbook and tests to prevent recurrence. Assign owners and due dates for remediation items.

KPIs, dashboards, and recommended metrics

• Success rate (daily, weekly) — target: 99%+ depending on business needs.
• Mean time to detect (MTTD) — monitor trends downward.
• Mean time to recover (MTTR) — track and aim to reduce.
• Change failure rate — percent of changes causing incidents.
• On-call pages related to agents per period.

Security & compliance checks

• Limit privileges: run agents with least privilege necessary.
• Audit trails: ensure all actions are logged with immutable records.
• Secrets rotated and access reviewed regularly.
• Data handling: verify PII and sensitive data flows comply with policy.

Automation and testing

Automate smoke tests, contract checks against upstream services, and replay tests for critical flows. Use synthetic workloads to validate behavior after deployments or platform changes.

Onboarding checklist for a new agent

1. Register owner and fill this runbook template.
2. Set baseline metrics and thresholds for alerts.
3. Create CI pipelines and automated tests.
4. Define rollback and canary procedures.
5. Schedule first-week monitoring and review with platform ops.

Templates (copy and adapt)

Incident log template

Incident ID, Start/End times, Impact summary, Root cause, Actions taken, Owner, Post-incident actions (owner + due date).

Change control quick-template

Change ID: <...>
Agent: <...>
Owner: <...>
Risk: <low/med/high>
Rollback steps: <commands/toggles>
Validation: <observables and thresholds>

Where to start (practical next steps)

1. Identify your top 5 business-critical agents and apply the deployment checklist to each.
2. Implement heartbeat and success-rate alerts first — these catch most silent failures.
3. Create a short post-incident review template and run it after the next incident.

References & further reading

Link vendor docs, internal CI/CD policies, security procedures, and platform runbooks. Consider packaging this runbook into your team’s operational toolkit so it can be copied and tailored by other teams.