AUDIT-READY AGENT LAUNCH CHECKLIST (2026)

Use this checklist to ship an AI agent that can automate real work while meeting security, compliance, and ROI expectations.

1) DEFINE SCOPE AND ROI
- Name the workflow (e.g., “refund requests under $50”, “access provisioning for contractors”).
- Quantify baseline cost: volume/week, average handle time, fully-loaded cost per hour, error rate.
- Set target metrics: Coverage (% eligible), Automation rate (% eligible fully completed), Quality floor (CSAT, compliance, recontact rate).
- Define hard boundaries: max dollar amount, disallowed actions, required approvals, and escalation rules.

2) DATA + TOOLS READINESS
- Inventory systems the agent must read/write (CRM, ticketing, billing, IAM).
- Create a tool allowlist with least-privilege scopes (per action, per role).
- Add “reversible actions” where possible (undo, cancel, revert), or require approvals.
- Decide what context is allowed (internal docs, customer records) and what is forbidden.

3) EVALUATION HARNESS (BEFORE SHIPPING)
- Build a representative task set (50–300 scenarios) including edge cases and adversarial attempts.
- Add automated scoring: correctness, policy compliance, tool-call validity, and “no hallucinated actions.”
- Establish regression gates: prompt edits, model upgrades, and tool changes must pass evals.

4) GOVERNANCE + AUDITABILITY
- Implement immutable traces: user input, retrieved sources, prompts, tool calls, outputs, approvals.
- Support exports per task/ticket ID for audits.
- Set data retention (e.g., 90 days) and enable PII redaction.
- Add change management: version prompts and policies; document rollbacks.

5) SAFETY CONTROLS
- Add spend and loop guards: max tool calls, max model calls, max tokens per task, per-tenant budgets.
- Add a kill switch to disable a tool or the whole agent instantly.
- Implement escalation paths that preserve work: structured summary + citations + next actions.

6) ROLLOUT PLAN
- Phase 1: Shadow mode (agent proposes; humans execute). Track accuracy and time saved.
- Phase 2: Human-approval mode (agent executes after approval). Track approval/correction rate.
- Phase 3: Limited autonomy for low-risk segments (tight thresholds).
- Phase 4: Expand eligibility only after 4–8 weeks of stable outcomes.

7) OPERATIONS
- Create dashboards: coverage, automation, p95 latency, cost per task, outcome KPIs, and incident rates.
- Set alerts on regressions: token spikes, increased escalations, higher refund reversals, lower CSAT.
- Assign ownership: product (scope), eng (reliability), security (controls), ops (policy).

If you can’t prove: (a) what the agent did, (b) why it did it, and (c) what value it produced, you don’t have a productized agent—you have a demo.