Fully autonomous AI sounds appealing until it's wrong in a way nobody catches. Every AI system we build — from DMNexa's order extraction to validation pipelines — is designed around a specific question first: which decisions should the AI make on its own, and which should it propose for a person to confirm?
What this covers
- Decision-boundary design — what the system decides versus what it flags for review
- Confidence scoring and escalation thresholds calibrated to your actual error tolerance
- Review interfaces built for the person doing the reviewing, not just an admin table
- Audit trails covering both the AI's proposal and the human's decision
Related
Design Your Review Workflow
Tell us what decision you want AI to help with and who should have the final say.