A layered workflow for high-stakes delivery with AI agents: a human-gated meta-plan, testable phases with focused prompts, isolated workspaces, a staff-level readiness pass, then deliberate execution one phase at a time.
When app and platform teams ship at different speeds, POs and QA get squeezed between partial surfaces and full acceptance. Here is how to name the failure modes, shrink the gap where you can, and handle the enterprise seam honestly.
A practical guide to driving organization-wide engineering change, from planning and consensus to implementation, evangelism, and what breaks when you skip a step.
