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 ↗Help sponsors consider the full change before authorizing new commitments.
What changes for users and operations? Which tests or dependencies are affected? Who can approve the revised commitment?
Do not promise that a change is free or harmless without assessment. Preserve the original baseline for comparison.
We use these answers to agree on integration boundaries, responsible reviewers, access controls and a definition of done. The proposal identifies dependencies and what is included before implementation begins.
Pilot one completed change and compare the brief with actual reviewer questions and approved impacts.
Measure omitted dependencies, unsupported estimates, baseline confusion and approval preparation time.
Update the accepted baseline and retain the decision and its conditions.
Document the owner, support path and recovery procedure. Define how the workflow behaves when information is incomplete, access fails or a reviewer declines the proposed result. Agree on what needs fresh validation after a model or integration change.
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.