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 reporting and data-investigation work with explicit metric definitions and reviewed database access.
A query can return plausible numbers while using the wrong date, business entity or join. AI needs the semantic context behind the tables.
Help analysts reach a verified answer faster while preserving database and reporting controls.
A report owner flags a difference between two approved figures.
Identify differences in filters, joins and aggregation, and prepare read-only diagnostic queries with stated assumptions.
A database or reporting specialist reviews the queries and confirms the explanation against trusted results.
Confirm instance permissions, data sensitivity and workload limits. Diagnostics must not create uncontrolled load on operational databases.
Measure incorrect explanations, query review time, reconciliation effort and operational query impact.
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.