Method · Five steps
Understand first, then build.
Boundaries before automation.
Five steps from diagnosis to capture. Each step has a defined output that leadership can judge, business teams can run, and engineers can check.
Five stages
Diagnose → Access → Engineer → Deliver → Capture
- 01 · Diagnose
Diagnosis
How your team uses AI today, and what actually blocks it.
Output · Priorities and risk boundaries - 02 · Access
Access
Design the tools, gateways, and security boundaries AI runs through.
Output · Access architecture and permission rules - 03 · Engineer
Engineering
Design the development workflow and its iteration loop.
Output · SOPs, templates, and acceptance criteria - 04 · Deliver
Delivery
Design the end-to-end path from idea to product.
Output · Delivery plan and milestones - 05 · Capture
Capture
Turn what works into Skills, SOPs, and knowledge assets.
Output · Team knowledge assets
Three rules
Every project follows these three rules
Boundaries before automation
First we write down what AI may do, what it may not do, and who reviews its work. Time savings come after that.
Every step has acceptance criteria
Each stage has outputs and acceptance criteria. Work does not move on until it passes.
Methods stay with your team
What works is written into Skills and SOPs, so your team keeps using it after the project ends.
Start with step one: diagnosis.
A free 30-minute call. You leave with the first workflow to change.