Your team owns the build.
Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.
Explore the $2,500 package ↗Prepare project intake and handoff packets that connect customer requirements, site information and qualified engineering review.
A project can stall when sales assumptions, site evidence and technical requirements are not aligned. AI should reveal those gaps before commitments move downstream.
Give project owners a clear readiness picture and a documented list of decisions to resolve.
A coordinator submits an approved project inquiry and available site evidence.
Summarize confirmed facts and missing evidence, separating proposed system assumptions from approved engineering decisions.
Qualified engineering and project owners verify feasibility and scope. The workflow does not approve designs, permits or safety decisions.
Confirm source dates, site identity and professional approval responsibilities. Customer estimates must not become verified site facts.
Measure missing survey information, scope corrections, repeated handoff questions and preparation time.
Before expanding the workflow, compare the result with the current process. Include review effort and exceptions in that comparison so the improvement reflects the team's actual experience.
Read the implementation guide ↗The workflow stays centered on your business. The engagement determines who learns, implements and operates it.
Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.
Explore the $2,500 package ↗Get everything in DIY, three months of workshops, weekly team sessions and direct implementation coaching.
Explore guided implementation ↗Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.
Explore managed delivery ↗Bring a process, a bottleneck, or an idea. We'll help you decide what to automate, what to keep under human review, and where to begin.