If you want to talk about a live build, a project you're scoping, or just want advice on how to deliver it properly, book a call. https://link.mattisaiconsulting.ai/widget/bookings/30-minute-meeting-li No pitch. No pressure. 30 minutes, we talk about your project.

I spent decades building systems where failure was not an option. Robotics. Defence. Utilities. If it broke, someone lost real money or worse. Then I watched the AI agency wave hit. Smart people selling bold outcomes on top of fragile delivery. Freelancers ghosting mid-build. Agents that worked in a demo but fell over on day two. Margins destroyed by "just one more fix" sprints. Good client relationships killed by flaky tech and no handover. The problem was never the AI. The problem was that nobody treated AI delivery like production software. No scope lock. No UAT. No monitoring. No runbook. No handover. No definition of what "done" actually means. So I stopped building for agencies and started building with them. I have now shipped many AI builds as a behind-the-scenes delivery partner. Voice agents, SMS automation, intake flows, CRM integrations, estimation pipelines, SaaS products. Under the agency's brand. With signed scope, measurable acceptance criteria, and a clean handover at the end. That is what this group is about. Not "learn AI." Not tutorials on prompt engineering. Not hype about what is coming next. This group is about one thing: shipping AI projects that survive production and do not drag you back after go-live. What you get here: Go to the Classroom. Module 1 (The Delivery Foundation) gives you the five frameworks I use on every build: 1. The five failure modes that kill most agency builds 2. The production-ready checklist (6 requirements, non-negotiable) 3. Scope Lock: how to prevent scope creep before it starts 4. UAT: the gate between "it works" and "it's ready" 5. The Handover Pack: how to close a project and never get dragged back Module 2 (Real Project Teardowns) breaks down three actual builds: multi-clinic SMS reminders, a joinery estimation pipeline, and a legal tech SaaS. What went wrong. What we built. What you can steal for your own projects. How to get value here: 1. Start with Module 1 in the Classroom 2. Do the action at the end of each lesson (post your score, your Scope Lock, your test cases)

Most delivery problems aren’t “AI problems.” They’re scope and access problems. We run two delivery tracks: Sprint (14–30 days) Sprint is only for projects that are genuinely Sprint-ready. Your project is Sprint-ready only if all of this is true: 1. One primary workflow with a clear Definition of Done 2. Access to required systems within 72 hours (accounts, APIs, credentials) 3. One decision-maker who can approve quickly (24–48 hour replies) 4. Supported stack and common integrations (no weird legacy surprises) 5. Change control is accepted (scope, milestones, change orders) If any of those are false, it is not a Sprint. It becomes Standard (45 days). Standard (45 days) This is the default for production delivery: integrations, QA, and a clean launch. Post format (required for fast feedback) Use Classroom → Start Here → “Project Intake Template” Label your post SPRINT or 45-DAY.