Document AI for insurers and brokers

The problem: knowledge split across policies, claims and email

At an insurer, the answer to a simple question — “does this policy cover water damage at the second home?” — is usually spread across the general wording, the specific conditions, an endorsement signed three years ago and the claim history. Claims handlers, underwriters and service teams spend a significant part of their day finding and re-reading those documents.

Full-text search barely helps: it cannot tell an active policy from a cancelled one, nor understand that “excess” and “deductible” mean the same thing.

How RootNia solves it

1. Document orchestrator. Connects SharePoint, OneDrive and your policy and claims databases into a single intake flow, without migrating anything.
2. Extractor and classifier. MIKA reads text, tables and scanned pages — including handwritten claim forms digitized with OCR — and classifies every document by sector and type.
3. RAG. For each question, RAG retrieves only the relevant clauses and documents from the file.
4. Traceable answer. The LLM of your choice (ChatGPT, Claude, Kimi or another) drafts the answer and VERA anchors every value to the exact page and region it came from.

Common use cases

• Claims handling: file summary, applicable cover and missing documentation.
• Underwriting: querying policy wordings and comparing product versions.
• Customer service: consistent answers about cover, with the clause cited.
• Internal audit: which document grounded each answer, with which classification and which model.

Example: from question to verified answer

Illustrative example of how it works, not a specific customer.

A claims handler asks: “Does the policy cover water damage at the property, and which deductible applies?”

1. RootNia finds the documents in the file — policy, specific conditions and endorsements — already classified by type.
2. RAG retrieves the water-damage clause from the wording and the latest endorsement that changed the deductible.
3. The LLM drafts the answer: applicable cover and current deductible, citing both documents.
4. The handler opens the exact region of each clause in one click and verifies the answer before sharing it.

Getting started

• No migration: the repositories where policies and claims already live are connected as they are.
• Timelines: from 48–72 h on Starter to 1–2 weeks on Business; Enterprise deployments, common at insurers because of on-prem or dedicated VPC, take 3 to 9 weeks depending on the sources.
• First step: a 20-minute demo with a sample of your own documents.

Governance and deployment

Documents are separated into private, public and technical tiers from the moment they are ingested, and access control follows that tier. For carriers that cannot move data outside their infrastructure, the Enterprise plan includes on-premise or dedicated VPC deployment, SCIM and a custom SLA. See pricing or compare RootNia with traditional IDP tools.