Submission Validation
Reconciles broker-quoted risk data against source-of-truth signals to catch discrepancies before a policy is bound.
A validation and evidence intelligence platform that helps insurers trust broker-submitted risks before policies are bound. AI agents surface the true exceptions, not the noise.
Reconciles broker-quoted risk data against source-of-truth signals to catch discrepancies before a policy is bound.
Clear PASS, CAUTION or FAIL results with reason codes and confidence indicators, so every decision can be explained.
AI agents read the documents already exchanged in the workflow, extract key facts and track evidence completeness.
LLM-generated, standardized underwriting notes for every submission. Consistent, reviewable and ready for the file.
Clean submissions flow through automatically, letting underwriters focus only on the exceptions that need attention.
A focused workspace for underwriters and operations teams to review, resolve and track exceptions faster.
We build AI-powered platforms that automate complex, document-heavy workflows. Let's discuss your project.
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