Agent Startup Readiness Checklist (2026) Use this checklist before you scale traffic, hire a sales team, or sign enterprise SLAs. Goal: prove your agent can deliver outcomes with bounded risk and profitable marginal cost. 1) Outcome definition (Day 1–2) - Write 1 primary KPI (e.g., “% of tickets resolved without human,” “invoices processed/day,” “claims closed/week”). - Define a catastrophic error (e.g., wrong refund amount, wrong patient record, unauthorized account change) and a target rate (aim for ~0%). - Define the “unit of work” you will bill for (task, document, incident, resolution). 2) Cost model (Day 2–4) - Instrument per-run cost: tokens + tool/API calls + retrieval + sandbox compute. - Measure success-cost, not average cost: cost per successful completion and 95th percentile cost. - Set a hard budget per run (e.g., $0.25 SMB, $2.00 enterprise) and enforce it with routing/fallback rules. - Decide escalation policy: what triggers human review, target escalation rate (e.g., <5% in steady state). 3) Reliability + evaluation (Day 4–7) - Build an eval set of at least 200 cases: 50 “happy path,” 100 messy real-world variants, 50 adversarial or policy-edge cases. - Track: task success rate, tool-call validity, policy violations, latency (p50/p95), and catastrophic errors. - Add shadow mode and staged rollout (5%→25%→50%→100%). - Add replay: store run traces (objective, tool calls, parameters, outputs) with redaction. 4) Guardrails + governance (Day 7–10) - Implement tool allowlists per role, plus schema validation on every tool call. - Add PII handling: redaction rules, retention policy, and a “no-train” stance unless explicitly contracted. - Add approvals for high-risk actions (refunds over threshold, account deletion, payments). - Ensure idempotency for side effects (retries must not double-execute). 5) Go-to-market readiness (Day 10–12) - Create an ROI report the buyer can export: outcomes delivered, exceptions, savings, and cost. - Define a 30–60 day pilot with a single workflow owner and explicit success criteria. - Prepare procurement answers: data residency, sub-processors (model providers), SOC 2 timeline, incident response. 6) Pricing + packaging (Day 12–14) - Pick a pricing metric aligned to value (per resolution, per document, per incident, % recovered). - Create autonomy tiers: Suggest → Assist → Delegate → Autopilot, each with higher price and stronger controls. - Add overage/limits that protect your margin (max runs/day, max cost/run, throttle behavior). Exit criteria to scale: - Unit economics: AI variable cost consistently within your target band (e.g., 10–20% of revenue SMB, 5–15% enterprise). - Reliability: success rate at or above target and stable across two consecutive releases. - Governance: audit logs + approvals + safe rollback available for every side-effecting action. - GTM: at least 3 referenceable customers with measured outcomes and a clear expansion path.