Loading
FNOL, claims, and document AI with audit trails buyers can defend
Claims intake routing, policy Q&A, and SIU assist patterns for P&C and specialty insurers - human-in-the-loop by default, measurable cycle-time gains without promising zero touch.
Quick Summary
AI for Insurance: Claims intake routing, policy Q&A, and SIU assist patterns for P&C and specialty insurers - human-in-the-loop by default, measurable cycle-time gains without promising zero touch.
We design for the constraints your teams already know - not a lab demo.
Most insurers do not need a science project - they need intake that stops burning adjuster hours. We map FNOL channels, define escalation rules with claims leadership, then ship routing + extraction with immutable logs. Compliance questions (data residency, model choice, human override) are answered in discovery before build.
Related case studyWe design for the frameworks your buyers and auditors care about. Labels below mean architecture and process alignment - not a claim that Xenqube is certified under every badge on this page.
We do not sell untouched adjudication as a default. We automate intake, extraction, and routing, and keep human approval on coverage and payment decisions unless your compliance team explicitly scopes a controlled STP lane.
Expect: Where does data live? Who can see claim PDFs? Can we get an audit of model outputs? What happens when the model is wrong? How do we retain records? We bring answers for data residency, RBAC, audit logs, HITL escalation, retention, and BAA/DPA needs into discovery.
Decision UUIDs, input/output hashes, policy version stamps, and human escalation records. For teams that need cryptographic anchoring, we deploy the Xenith Seal pattern as part of the engagement.
We design systems as operational tooling with full logs - not as black-box underwriting oracles. Your compliance and actuarial owners define which fields AI may touch and which remain human-gated.