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 structured intake and exception work for Airtable bases without weakening the rules behind your operations.
Flexible records make it easy to collect data inconsistently. AI assistance should normalize the input and expose uncertainty before it becomes operational data.
Give record owners a reviewed proposal with clear evidence and a controlled update path.
A coordinator submits an incoming request to an approved intake queue.
Extract proposed field values, identify likely linked records and list missing details rather than inventing required information.
The coordinator validates identity matches, required fields and any downstream action before approving creation or update.
Confirm base permissions, existing automations and identifier conventions. A record update may trigger other work, so assess those consequences first.
Track field corrections, duplicate creation, broken links and downstream exceptions caused by incomplete intake.
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.