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 analysts reach a verified answer faster while preserving database and reporting controls.
Which report is authoritative? How are dates and entities defined? What environment is available for safe query evaluation?
Confirm instance permissions, data sensitivity and workload limits. Diagnostics must not create uncontrolled load on operational databases.
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 recurring report discrepancy using a controlled dataset and review every proposed query before execution.
Measure incorrect explanations, query review time, reconciliation effort and operational query impact.
Document the accepted cause and route any report change through its established review 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.