The problem
Claims, audits, and compliance workflows depend on evidence. But the evidence often lives across forms, notes, attachments, images, and inconsistent systems. Human reviewers become the glue between missing data, rules, and next actions.
Use case
Insurance and compliance
AI systems that review evidence, extract required fields, validate rules, and route cases before manual review becomes the bottleneck.
What the system does
- Collects case documents, attachments, images, and review notes.
- Extracts required fields and links each field back to supporting evidence.
- Checks completeness, rule conflicts, and confidence before routing.
- Escalates ambiguous cases with the specific evidence a reviewer needs.
Business value
A good system makes review faster without making the workflow opaque. It gives reviewers cleaner packets, better traceability, and fewer repetitive checks.