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 analysts reviewable query proposals and data-quality findings without granting autonomous database changes.
Which tables are approved for analysis? What defines the metric? Who reviews costly joins and sensitive outputs?
Confirm role permissions, reporting replicas and execution limits. Keep generated queries away from production write authority.
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 a small set of known reporting questions and compare results against trusted reports before broader analyst use.
Measure incorrect joins, metric discrepancies, review effort and execution cost against the accepted baseline.
Save the accepted query with its metric definition and verification notes in the team's reporting repository.
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.