Meet your AI Agent for Claim Indexing.

Indexing is one of Bevaya's fastest-payback deployments. A US P&C carrier avoided $1.3M annually on document classification and indexing alone. A Fortune 500 P&C carrier delivered 246% ROI within six months on related claims work. Most customers see meaningful adjuster capacity returned within the first 3 months of go-live and net-positive in year one. Bevaya commits to production-grade performance within 90 days, with the right to cancel — risk is on us, not your team.

Production deployments classify across 60+ P&C document types out of the box. Categories are fully customizable — your team can add, rename, or modify categories at any time without re-training from scratch. The Agent picks up new patterns from corrections automatically.

Every classification ships with a confidence score from 0 to 100. You set the threshold. Items above it route automatically. Items below it go to a Review Queue where an expert reviewer sees the document with X-Ray Mode highlighting — exactly which page elements drove the AI's call. Average review takes under 2 minutes. Corrections feed back into the model.

The Claim Indexing AI Agent extracts universal claim-tying fields from every document — claim number, claimant name, date of loss, policy number — and uses them to associate documents with the right claim file. Even when documents arrive separately over weeks or months, the Agent reconnects them automatically. Duplicates are flagged before they hit your claims system.

The Agent doesn't give up. When a document is missing a claim number, claimant name, or policy number, the Claim Indexing AI Agent queries your claims system — Guidewire, Salesforce, Duck Creek — to identify the right association automatically. Candidates are scored against extracted fields, and the document routes to the matching claim. If the lookup is ambiguous, the item goes to a reviewer with the ranked candidate matches surfaced for one-click selection. When the data isn't recoverable through lookup, the Agent requests it per your guidelines.

The Claim Indexing AI Agent is the upstream gate for every downstream claims workflow. Medical bill review, vendor invoice payments, subrogation, SIU fraud detection, adjuster workflow, and legal defense all depend on documents being in the right file with the right metadata.

When indexing runs cleanly, bills land on the right claim with the right policy terms ready for adjudication. Vendor invoices arrive matched to the right claim and approval path. Subrogation evidence — police reports, witness statements, photos — surfaces where analysts can find it. SIU documents flow distinctly to the fraud team the moment they land. Adjusters open a sorted file and spend their time on decisions, not document hunts. Every demand letter and legal document lands in a defensible file that traces back to source.

That's why most customers prioritize indexing as their first AI Agent deployment — the value compounds across the lifecycle.

Wherever your team works today. Bevaya pushes indexed documents and their metadata into Guidewire ClaimCenter, Salesforce, Duck Creek, or your custom claims platform via API. Your adjusters see organized files in the system they already use — no new tool to open.

Production deployment typically takes 8–12 weeks from kickoff. The Claim Indexing AI Agent is one of Bevaya's fastest to deploy — pre-trained classification logic for 60+ insurance document types means most of the work is configuring your specific channels, rules, and routing destinations. Bevaya manages deployment end-to-end. Your IT team stays focused on its own priorities.

It depends on your confidence threshold and document mix. Most customers see 90%+ of files auto-routed without manual review within 3 months of production. Some deployments — like our large insurance conglomerate processing 3,000 correspondence items daily — exceed that, with average review times under 30 seconds on the items that do need human eyes.

Bevaya is SOC 2 Type II and HIPAA compliant. Customer data is never used to train shared models. Deployments run in a customer-dedicated environment with enterprise connectivity options including VPN, point-to-site, and site-to-site connections.