Start with a defined trigger
A workflow owner selects a review period and representative output sample.
Scheduled quality checkpoint-to-review packet
This is a proposed workflow pattern. We confirm data access, permissions, integration options and review ownership with your team before implementation.
Do not treat self-scoring as independent validation or automatically remove human gates because a model reports confidence.
A workflow owner selects a review period and representative output sample.
Collect permitted outputs, evaluation criteria, reviewer corrections, model and prompt versions and incident records.
Summarize failure patterns and proposed investigation priorities, comparing results with the agreed baseline.
Business and engineering owners verify findings and approve any change to prompts, context, tools or review gates.
Test accepted changes against representative examples before release and retain the before-and-after evidence.
Measure accepted output quality, reviewer correction effort, missed exceptions and regression after controlled changes.
Keep the input, relevant context, review decision and final result connected. When a reviewer corrects something, use that evidence to improve the instructions or integration, then validate the change against representative cases.
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.