AGENTIC PRODUCT READINESS CHECKLIST (2026)

Use this checklist to take an AI agent from concept to production without sacrificing reliability, security, or margins. Score each item as: Not started / In progress / Done.

1) WORKFLOW SELECTION (VALUE)
- Define one “thin slice” workflow (single team, clear owner, clear system boundaries).
- Write a hard ROI hypothesis in dollars (e.g., save X minutes per ticket at $Y/hr, reduce escalations by Z%).
- Identify the baseline: current cycle time, error rate, and volume per month.
- Define what success looks like in 30 days (leading indicators) and 90 days (financial outcomes).

2) AUTONOMY DESIGN (TRUST)
- Choose an autonomy level to start (recommend: Suggested Actions with confirmation).
- Specify which actions are allowed vs forbidden (explicit allowlist beats ambiguous rules).
- Define approval gates: thresholds (amount, environment, data type), and who can approve.
- Design a confirmation UI that shows: exact diff, impacted systems, and a “why” explanation.

3) EXECUTION ARCHITECTURE (RELIABILITY)
- Orchestration lives outside the model: durable state machine tracks steps, retries, and outcomes.
- Idempotency rules defined for each tool/action (safe retries, dedupe keys).
- Compensating actions designed for each write (undo/rollback where possible).
- Timeouts, circuit breakers, and backoff policies implemented for external integrations.
- Per-task budgets enforced (max tool calls, max spend, max wall-clock time).

4) EVALUATION & RELEASE (QUALITY)
- Create a golden task set (realistic, diverse, versioned).
- Add adversarial cases: ambiguity, missing fields, permission denied, partial outages.
- Define step-level metrics (tool selection accuracy, parameter correctness, policy violations).
- Define business metrics (completion rate, time saved, deflection, escalation reduction).
- Put prompts/policies in version control and gate releases with regression evals in CI.

5) OBSERVABILITY (OPERATIONS)
- Implement trace IDs per run; log each step with inputs/outputs and latency.
- Capture accept/reject feedback and reason codes (UX prompt, dropdown, or quick tags).
- Track cost per run (model tokens + tool costs) and margin per customer/workflow.
- Provide dashboards: success rate, exception rate, rollback frequency, p95 latency.

6) GOVERNANCE (SECURITY/COMPLIANCE)
- Least-privilege credentials: scoped service roles, not broad user tokens.
- Policy engine: caps, domains, environments, and time windows configurable by admins.
- Immutable audit log: prompts, plans, tool calls, writes, outcomes; exportable to SIEM.
- Data controls: retention, redaction, and residency options documented.
- Incident plan: how to disable the agent, revoke credentials, and notify stakeholders.

7) PRICING & ROI REPORTING (COMMERCIAL)
- Choose a value metric aligned to outcomes: tasks completed, tickets resolved, invoices processed.
- Show ROI in-product: volume handled, time saved, avoided escalations, SLA improvements.
- Provide cost transparency: per-task cost estimates and spend caps.
- Define expansion path: adjacent workflows that reuse the same connectors/policies.

90-DAY TARGET OUTCOME
By day 90, you should be able to say (with data): (1) what % of runs complete successfully, (2) what % required human approval, (3) what the p95 cost per task is, (4) what the measurable ROI is in dollars, and (5) how you audited and controlled every action.