Digital Twin Insurance Agent - Claim Automation using Agentic AI
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 Digital Twin Insurance Agent offers below capabilities out-of-box via a conversational Chabot**
1.Ingest the claim letters through various channels – postal mail, e-mail and other channels.
Show the rest of the publisher’s description (22 more lines)
2.Identifies and classifies the claims into sensitive and non-sensitive category and notifies the claim adjuster for sensitive claims.
3.Intelligent Routing - Route the claim to adjuster based on expertise (home, health), claim amount (senior, junior adjuster).
4.Entity Extraction – Extract key entities from the claim letter such as claim date, claim amount, court details and so on.
5.Claim Validation – Validate the claim data with the backend system.
6.Enhance Productivity of the Claim Adjuster
o Summarizer the contents of claim letter
o Preparing an automated response to letter
o Send email using AWS SES
7.Dashboard depicting the total number of claims – resolved vs unresolved, sensitive claims, claim adjusted load and other customizable metrics
8.Integration – The solution can be integrated with any claim management solution with minimal effort.
**Solution architecture details:**
- The breakthrough solution goes beyond LLM automation and leverages Agentic AI architecture built using Amazon Bedrock Agents (Bedrock Multi Agent Framework)
o 1 Orchestrator Agent
o 5 Collaborator Agents targeting different business functionality
- Responsible AI features enabled
- Highly secure and built using AWS Well Architected framework
**Benefits:**
- Reduction in claim processing time from days to hours
- Accurate identification and resolution of sensitive claims leading to effort saving
- Accurate routing based on business logic reducing re-work
- Improve claim adjuster productivity by automating effort to summarize, validate, prepare and send response.
- Reduce effort in claim validation and automated fraud detection analysis.
Highlights
Highlighted by the publisher on AWS Marketplace.
End to end insurance claim processing solution with the ability to automatically ingest claims through multiple channels, classify based on sensitivity, intelligently route based on business rules to significantly reduce claim processing time
Improve claim adjuster productivity by enabling a conversation interface for claim validation, summarization of claims and generate claim response
The Agentic AI solution can reduce the claim processing time by up to 30% leading to improved customer experience.
Agent build and provenance
See the full 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
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

