NorthFirn field guide
How to tell whether an AI workflow is worth keeping
A simple way to measure quality, staff review time, mistakes, cost, and whether an AI workflow should continue.
By NorthFirn ยท Published July 15, 2026
Record today's work
Measure volume, time, corrections, mistakes, and the effect of a wrong answer before the workflow changes.
Measure the complete job
Track output quality, staff review, escalation, security needs, integration work, and cost.