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 accountable owners spot deterioration and approve targeted improvements from evidence.
Which errors are consequential? What changed since the baseline? Who can approve a workflow revision?
Do not treat self-scoring as independent validation or automatically remove human gates because a model reports confidence.
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.
Start with one managed workflow and a stable evaluation set that includes difficult and previously failed cases.
Measure accepted output quality, reviewer correction effort, missed exceptions and regression after controlled changes.
Test accepted changes against representative examples before release and retain the before-and-after evidence.
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.