AGENTIC SAAS LAUNCH READINESS CHECKLIST (2026) Goal: Ship an AI agent that can take real actions (write operations) in customer systems with measurable reliability, clear unit economics, and audit-ready governance. 1) Workflow Definition (Outcome > Demo) - Define one funded workflow (e.g., Tier-1 ticket resolution, AP invoice coding, security triage). - Write a success spec: what “done” means, what fields/systems are updated, and what edge cases go to humans. - Set numeric targets: automation rate (e.g., 30% in 60 days), rollback rate (<1%), and P95 latency. 2) Tooling + Integrations (Deterministic Interfaces) - Implement strongly-typed tool schemas (JSON schema or equivalent) for every action. - Ensure idempotency for write actions (idempotency keys; safe retries). - Add preflight validation (required fields, permission checks, business rules) before executing. - Maintain connector versioning and a sandbox/test tenant strategy. 3) Permissions + Policy-as-Code (Least Privilege) - Use OAuth scopes with least privilege; separate read vs write tokens. - Add object-level and field-level restrictions (deny lists for PII/secret fields). - Implement “propose vs commit”: model proposes actions; policy engine authorizes. - Provide configurable approval queues for high-risk actions (money movement, permission changes, outbound messaging). 4) Observability + Audit (Answer ‘What happened?’ in minutes) - Log per-run traces: prompt version, model version, retrieved docs, tool calls, results, and errors. - Support retention controls (30/90/180 days) + redaction for PII. - Track operational metrics: cost/run, P95 latency, tool error rates, rollback rate. - Provide customer-facing audit export for sensitive actions (who/what/when/why). 5) Evaluation + Regression (Reliability is a discipline) - Build an eval suite based on failure modes (wrong account, duplicate record, unsafe permission, etc.). - Run evals on real sanitized traces weekly; gate releases on regression thresholds. - Add drift monitoring: pass rate by customer, by workflow, by connector version. 6) Rollout Plan (Trust-building sequence) - Start with Shadow Mode (2–4 weeks): recommendations only; measure correctness. - Move to Narrow Write Scope: one queue/region/team; approvals on; rollback tested. - Expand via policy packs and permissions—not by widening access all at once. 7) Unit Economics + Packaging - Calculate fully-loaded cost per successful task (model + retrieval + tool calls + human review + remediation). - Choose pricing aligned to outcomes (tasks/tickets/$ under management) with spend guardrails. - Set alerts for cost spikes (per-customer and per-workflow) and implement throttles. Exit Criteria (Launch-ready) - You can show: automation rate, rollback rate, pass rate on evals, and an audit trail. - You can safely stop the agent, throttle it, and reverse its most important actions. - Security review questions have clear, written answers (data retention, isolation, permissions, incident response).