A production readiness matrix for n8n and AI workflows: 32 checks
A workflow is not production-ready because the happy path ran once. This matrix lists thirty-two checks for n8n workflows and AI agents. Each one asks for evidence you can inspect and a failure test you can actually trigger before deployment, so it stays useful when tools, model providers and infrastructure change. Rows marked all apply broadly, rows marked n8n refer to platform-level review, and…
This matrix outlines thirty-two essential checks to ensure n8n workflows and AI agents are production-ready. Each check specifies evidence to verify and a test to trigger if the check fails, ensuring the workflow remains valid as tools, models, and infrastructure evolve.
Ownership and scope are verified with OWN-01 through OWN-04, confirming a designated workflow owner, observable success conditions, stop conditions, dependency inventory, and input data validation.
Input security is assessed with IN-01 through IN-05, ensuring authenticated triggers, schema validation, external content handling, data minimization, and authoritative source rules.
Execution and recovery measures include FLOW-01 through FLOW-07, focusing on idempotency, bounded retries, timeouts, error handling, partial failure policies, dead-letter paths, and manual recovery procedures.
AI-specific checks are detailed in AI-01 through AI-06, covering representative evaluation sets, structured output validation, least-capability tools, human approval for material actions, model and prompt versioning, and cost/loop ceilings.
Security and privacy are addressed with SEC-01 through SEC-05, focusing on least-privilege credentials, secret hygiene, risky node reviews, log redaction, and retention/deletion rules.
Lastly, operations ensure deployment versioning and rollback mechanisms with OPS-01.
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