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 ↗Give reviewers a coherent view of what changed, why and how it was checked.
Which requirements need explicit acceptance? Who can approve a release? What evidence is missing most often at handoff?
Confirm organization permissions, repository policies and environment approvals. Protect sensitive logs and deployment credentials.
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 team and work-item type. Review evidence packs alongside the existing delivery process.
Measure missing acceptance evidence, reviewer preparation time, unresolved assumptions and reopened work items.
Attach the approved pack to the work item and record unresolved follow-ups before the normal release process.
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.