Automate insurance documents: claims, policies, appraisals
Cambrion AI reads claim notifications, policies and damage appraisals automatically and matches the data against your policy and claims systems. 99.5% field accuracy, hosted in the EU.

Why do insurance documents still slow down claims handling?
Insurance processes are still heavily dependent on manual data entry and document handling. Claim notifications, policies, damage appraisals, invoices, and medical reports come in countless formats. Extracting claim numbers, coverage details, dates, parties, or itemised cost positions is time-consuming, error-prone, and slows down settlement.
How does Cambrion AI automate insurance documents?
Cambrion’s agentic document processing pipelines turn unstructured insurance documents into structured, validated data within minutes, without templates or labelling effort. Agentic processing also matches the data against your existing policy and claims systems.
Key benefits.
Speed: Process documents in seconds instead of minutes.
Accuracy: Reduce manual errors and ensure consistent data quality.
Scalability: Handle thousands of documents without additional staff.
Flexibility: Works across claim reports, policies, appraisals, and beyond.
Integration-ready: API endpoints fit seamlessly into your existing IT landscape.
Use cases.
Get inspired by existing data schemas.
Why Cambrion.
More control than standard LLM or intelligent document processing (IDP) tools: A structured data schema enables repeatable, verifiable results.
One platform, many use cases: Test agentic pipelines on your most complex document use cases and add pipelines as your document processing needs evolve.
Model-agnostic by design: Use or switch between LLMs without being tied to a single provider’s tooling.
Built for internal AI competence: Create a reusable foundation for future document automation instead of adding yet another point solution.
Updated on 7 October 2026
Start automating your documents.
Cambrion eliminates the bottlenecks in document-based workflows.