Agent Workflow Readiness Checklist (2026) Use this checklist to go from “agent demo” to a production workflow you can sell, support, and govern. 1) Workflow Selection (Problem Fit) - Name the workflow in one verb phrase (e.g., “triage inbound support tickets”). - Definition of Done is binary or strongly verifiable (artifact created, field updated, task closed). - Baseline metrics captured today: cycle time, volume/week, error rate, cost per unit. - Economic target set: e.g., reduce cycle time by 25% in 60 days, or cut escalations by 30%. 2) Scope and Constraints (Safety Fit) - Action space is small (start with 3–7 tools/actions). - Inputs/outputs have schemas (JSON or typed objects) and validation rules. - Clear “stop conditions” exist (max steps, max retries, max spend, timeouts). - Escalation path defined (who gets notified, where the queue lives, what context is attached). 3) Risk Tiering (Autonomy Fit) - Assign a tier: Tier 0 Read-only, Tier 1 Drafts, Tier 2 Internal writes, Tier 3 External actions, Tier 4 Money/privilege. - For Tier 2+, confirm rollback/undo strategy (single record + batch revert). - For Tier 3+, implement approvals, allowlists, and immutable audit logs. - For Tier 4, enforce two-person rule and staged rollout by policy. 4) Observability (Operability Fit) - Tracing is enabled end-to-end (request → plan → tool calls → validations → outcome). - You log structured events (tool name, params hash, success/failure, retries) with redaction. - Dashboards exist for: completion rate, escalation rate, tool-call success, p95 latency, cost per task. - You can replay a task from a trace to reproduce failures. 5) Evaluation (Quality Fit) - Define what “failure” means for this workflow (wrong customer, wrong amount, wrong permission). - Build a golden set: at least 50–200 historical cases with expected outcomes. - Add automated checks: schema validation, policy checks, dry-run execution where possible. - Set launch gates: e.g., >90% completion on golden set and <5% critical errors. 6) Packaging & Pricing (Business Fit) - Name the unit of value (resolved ticket, processed invoice, completed review). - Choose a predictable plan: base tier includes X units/month; overages priced per unit. - Include spend controls: caps, alerts at 50/80/100%, per-workflow quotas. - Document ROI narrative with numbers from pilots (before/after cycle time, throughput, quality). 7) Launch Plan (Adoption Fit) - Start with “suggest/approve” mode before full autonomy. - Ship a review inbox UI for approvals and escalations. - Create playbooks for top 10 edge cases; update weekly from operator feedback. - Define the 30-day target: expand to a second workflow only after meeting reliability KPIs. If you can’t check at least 80% of the items above, don’t scale autonomy. Tighten the workflow, reduce actions, and instrument first.