Workflow field notes
AI workflow evaluation without the hype
Practical guides for leaders deciding whether an AI workflow is useful, safe enough and worth continuing.
Start with one bounded task. Compare the full human workload, test the quality of the result, and make a decision you can explain. AI10xNow is a brand name, not a claim that AI will deliver a tenfold improvement.
After review, correction and exceptions, does the new workflow produce an acceptable result with less effort?
Build a fair baselineMeasure work
A repeatable task, a fair comparison and an evidence log.
Read the measurement guideCheck quality
Separate plausible language from useful, supported answers.
Build a quality testModel value
Include review time and tool cost before calling a pilot a success.
Try the value calculatorA decision, not a dashboard full of activity
Usage counts tell you whether a tool was opened. They do not establish whether it improved a business process. Keep adoption, quality, workload and financial results separate. A faster draft that creates more correction work may be a worse workflow.
These resources suit low-risk internal drafting, classification and knowledge-assistance pilots. Consequential decisions need qualified oversight, appropriate controls and domain-specific assessment.