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 work-item context and change-review evidence across your development process with explicit engineering ownership.
Requirements, code and build results can be reviewed in separate places. AI assistance should connect them without claiming a passing build proves the business requirement.
Give reviewers a coherent view of what changed, why and how it was checked.
A developer submits a scoped work item for delivery review.
Prepare an evidence pack mapping requirements to changes and verification, highlighting untested assumptions.
The technical reviewer checks implementation evidence and the product owner accepts business behavior. Release approval remains separate.
Confirm organization permissions, repository policies and environment approvals. Protect sensitive logs and deployment credentials.
Measure missing acceptance evidence, reviewer preparation time, unresolved assumptions and reopened work items.
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.