Claim Assist - Accelerating Claim Verification
HCLTech · Finance & Accounting
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
The insurance industry grapples with complex operational challenges, including the arduous task of manual document classification and indexing, fragmented and manual claim verification processes, and lack of centralized knowledge management. Insurers find themselves drowning in paperwork, with time-consuming and error-prone scanning, uploading, categorization and verification of customer documents. Reviewers navigate through disparate systems and handwritten forms making it much difficult to process claim in timely fashion affecting their performance.
Our solution offers a powerful answer to the operational challenges faced by the insurance industry, enhancing the arduous process of document classification, indexing and verification of client files with exceptional precision and speed. It seamlessly integrates with insurers' current systems for verification and generating action items for the reviewers. It also provides ‘reviewers mindset’ from claims history (of similar claim category).
Show the rest of the publisher’s description (6 more lines)
This solution is functionally taking care of three personas:
- Uploader – At onsite – closely working with Mailroom who scan the mail and documents and upload them in system.
- Verifier - Back office -Validate the claim documents for completeness and accuracy, and fill the regulatory checklist
- Authorizer: - Back office – Verify and approve claim to ensure Verifier has done everything correctly and authorize payment for next steps.
This Gen AI solution is implemented using AWS native services and LangChain. Below are several of the AWS services leveraged for the overall solution development:
Amazon Textract, OpenSearch Serverless (Open Source Search Engine - Amazon OpenSearch Service - AWS), LLM via Amazon Bedrock, AWS Lambda, Application Layer — ReactJS
Highlights
Highlighted by the publisher on AWS Marketplace.
Customer level verification: The solution does entity extraction from the documents and leverages LLM model knowledge to validate claim type of the documents and also assist the customer by stating the list of missing documents at one shot reducing multiple back and forth between customer and insurer.
Reviewer level Auto Verification: Extracted entities from document automatically gets verified against various policy records & inhouse systems (CRMs, Claims System, Checklist System, etc.) and a consolidated list of all verified / unverified line items are captured. A consolidated summary gets generated and the checklist (for the claim category) gets automatically filled.
Reviewers Insights: Each reviewer has his own preference while reviewing, this module captures all the approved claim history data (of similar claim category) and brings reviewers insights (“sharing reviewers mindset”) at one place helping in ensuring the completeness or verification.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-07-01
Sources
Linked repositories
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