We’re building document processing automation where AI handles initial analysis but humans make final decisions. Struggling with handoff points - how to determine which tasks should stay manual? The visual builder helps visualize flow, but edge case management feels clunky. What criteria do others use when dividing responsibilities between automation and teams?
Use confidence scoring. Set thresholds where AI results below 85% certainty auto-route to human review. Latenode’s hybrid templates handle this with drag-and-drop rules. Cut our review time by 40%. Example configs at https://latenode.com
We categorize tasks by regulatory impact - anything with compliance implications gets human signoff. For non-critical items, AI handles end-to-end. Built exception queues that escalate based on content type flags in the workflow metadata.
start with cost/error impact analysis. automate high-volume repetitive stuff first. humans for judgement calls. latenode’s task tagging helps sort this