Features

Everything a reviewer needs on one page

Six capabilities, one purpose: a complete, consistent, well-evidenced file before it reaches a human reviewer.

AI document extraction

Reads claim forms, invoices, receipts, repair estimates and photograph metadata. Textract handles structured and scanned documents; Bedrock classifies document types and normalises values. Each field carries a confidence score and a pointer to its source line.

  • Policy, reference and registration numbers
  • Dates, amounts, vendors and parties
  • Confidence per field, with low-confidence prompts

Completeness intelligence

Each claim type has a configurable checklist — which documents are required, which are optional, and which document types satisfy each item. ClaimNest tells you what is missing and drafts the evidence request.

  • Per-claim-type, per-tenant checklists
  • Waive an item with a recorded reason
  • One-click evidence requests

Inconsistency detection

Cross-checks the same field across every document and applies rules for amounts and date order. Differences are shown side by side with the documents they came from.

  • Names, policy numbers, dates, identifiers
  • Claimed amount versus estimates and invoices
  • Documents dated before the reported loss

Claim summary generation

Drafts a structured summary: incident, supporting evidence, missing information and unresolved questions. Summaries are drafts for reviewers — they never contain coverage conclusions.

  • Plain-language, source-linked statements
  • Editable by reviewers
  • Included in the preparation report

Evidence timeline

Orders incident dates, document dates, expenses and workflow events chronologically so reviewers can see sequence at a glance.

  • Click any event to open its source
  • Highlights events before the loss date

Human review workflow

Approve extracted values, correct errors, comment, assign reviewers, request more evidence and mark a file ready. Critical corrections proposed by non-reviewers wait for approval.

  • Role-based permissions
  • Reviewer assignment and comments
  • Full audit history
What ClaimNest does not do. It does not decide whether a claim is covered, approve or deny claims, or present AI output as a binding decision. Those remain with the insurer and its authorised people.

Try it on a fictional claim