Post-AI Process Re-Designer Playbook

Rebuild a process from an empty page now that machines run its middle: find the handoffs, queues, buffers and sign-offs that only ever existed because humans were slow, delete them with a named replacement for what each was quietly doing, re-cut the human roles into charters that say what each one no longer does, and rewrite the turnaround promise and quality bar the new shape can actually hold.

A 4-step agentic workflow pack for operations built to run with ChatGPT, Claude, and Gemini. Open the Markdown files, fill the variables, and paste into your model. Most buyers get a reviewable result in about 15 minutes.

• Classify every step by why it exists — value work, human-latency artifact, coordination artifact, variance check, real control, or political leftover — instead of guessing what to automate
• A 12-archetype catalog of the steps humans invent to manage slow humans: batch windows, triage rituals, handoff packets, status syncs, staging buffers, re-keying, availability gates and more
• Rebuild from zero with a four-question admission test, so the old shape cannot survive by inertia while only the middle gets faster
• An eight-mode over-deletion review that catches the silent context carriers, undocumented approvals, and absorbed variance a fast rebuild usually breaks
• Re-cut roles against the five functions humans still hold, with charters whose mandatory 'no longer does' line stops the old process regrowing inside new job titles
• Seven role-design failure modes checked explicitly, including rubber-stamp approvals, machine-minder boredom, exception dumping grounds, and the hollowed-out training ladder
• Rewrite the service promise on the tail rather than the mean, and replace every deleted human check with named, inspectable evidence before the quality bar silently drops
• Pure-prompt playbook — works in any chat model, no integrations required