A workflow can pass every eval in your harness and still bury your reviewers.
Task completion asks: did the model produce an output?
Want the method? Grab the PolicyFlow build story and our evaluation-harness approach:
horizontwolabs.com
10,000 clean rows can still fail in production. The real test: if three people handled the same case today, would they make the same call? If not, you don't have a volume problem, you have a consistency problem.
horizontwolabs.com/blog/is-o…
Your governance checklist passed workflow one. Workflow two lets an agent write back to a system of record, and that's a different risk category, not the same audit with new paint.
horizontwolabs.com/blog/map-…
Your first AI workflow shipped fine. Your second one is stuck. Same team, same tools, same "AI-ready" data.
The difference: workflow one automated an extraction. Workflow two automates a judgment call. Not the same problem.
Budget season means someone's about to decide which AI line item survives next cycle. Don't let it be the one automating a decision your team has never made the same way twice.
If your second workflow has stalled, don't feed it more training data. Map the decision first.
horizontwolabs.com
#AIinProduction #AIReadiness
