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Human + AI delivery readiness: definitions, guardrails, and what "good" looks like
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Definition: delivery readiness in a human + AI workflow
Answer: delivery readiness means your team can name what “done” is, who approves high-risk changes, and where AI assistance is allowed versus forbidden — before velocity pressure arrives.
Authoritative signals you can cite in reviews
U.S. policy guidance increasingly expects organizations to treat AI as a managed capability, not a magic layer. For structured risk practices, see the NIST AI Risk Management Framework (nist.gov). For consumer-facing claims and accountability framing, the FTC business guidance on AI accountability (ftc.gov) is a useful cross-check when marketing and product language drift ahead of reality.
A practical readiness checklist (answer-first)
- Ownership: one named human approves production changes that touch money, PII, or SLAs.
- Evidence: tests and observability exist for the paths AI-assisted code can modify.
- Communication: release notes and customer-facing language match what the system actually does.
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