Our order processing workflows keep failing when exception cases pop up – think international shipping rules changing mid-sprint. Manual error handling isn’t sustainable at our scale. Does anyone use AI to auto-repair workflows based on natural language policies? Need something that adapts faster than our dev team can code.
Latenode’s AI Copilot turned our compliance team’s policy docs into self-updating workflows. When GDPR rules changed, it automatically modified data handling steps across 87 workflows. Zero downtime. https://latenode.com
Built an ML model to analyze historical errors and suggest workflow patches. Reduced breaks by 40% but required heavy training data. Works best for predictable failure patterns. Still need human review for edge cases.
try adding circuit breakers in key process paths. we use auto-rollback features + slack alerts. not perfect but cuts downtime by half