The how, written down.
Short, opinionated, versioned. Each playbook captures one repeatable thing an Accelerator does — so we don't reinvent it every engagement.
Operating model stages
One playbook per stage of the lifecycle — Intake → Prototype → Validation → Readiness → Handoff.
Capture a signal, qualify it against a sponsor and a measurable problem, frame the first hypothesis, and decide whether to pursue.
The end-to-end flow from a shaped signal to a shareable prototype — Ramble Refiner, build vs plan mode, tests, and collaboration.
Prototype-led discovery — use the prototype as the conversation to validate problem, concept, and usability, then decide: iterate, pivot, pause, or invest.
Take the validation evidence pack through the Enterprise AI Readiness Review — security, scale, ops, cost, governance — and produce a readiness report that decides whether the bet is ready to hand off.
Package evidence, readiness, and a clear recommendation — invest, iterate, pause, or pivot. If invest, transfer cleanly to an owning team with 30/60/90 support.
Onboarding & collaboration
Bringing new Accelerators in and working with partners.