Insurance Claims Processing leveraging Camunda and 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.
Overview:
Insurance customers expect speed, accuracy, and clarity when filing claims. HCLTech’s solution leverages AI and Camunda’s orchestration to automate document verification, real-time data analysis, and anomaly detection. This creates a seamless, adaptive, and customer-first claims experience.
Show the rest of the publisher’s description (20 more lines)
- Industry Challenges Addressed:
o Slow, manual workflows and high error rates
o Limited fraud visibility
o Rigid legacy systems and resource inefficiencies
o Low customer confidence due to lack of proactive communication
o Key Solution Features:
o Easy claim initiation via app, website, or phone, guided by AI-powered chat and voice agents
o Intelligent document handling and data extraction
o AI-powered claim assessment, fraud detection, and auto-approval of simple cases
o Integration with legacy systems using RPA bots
o Intelligent task assignment for adjusters
o Continuous customer updates and seamless external collaboration
o Personalized human support for complex claims
o Continuous optimization through analytics
- Differentiators:
o Real-time, autonomous decisions using agentic AI
o Operational excellence with intelligent case management
o Superior customer experience with speed and transparency
o Stronger fraud protection through continuous learning systems
HCLTech combines its insurance domain expertise with the power of Camunda and AWS to define, design, develop and help deliver a streamlined, AI-driven claims automation solution. By orchestrating workflows through Camunda and leveraging AWS services like Amazon Bedrock and AWS OpenSearch, the solution enables end-to-end automation—from claim initiation to resolution with real-time fraud detection, intelligent document processing, and scalable, secure operations.
Highlights
Highlighted by the publisher on AWS Marketplace.
Easy claim initiation: Customers file claims through their preferred channel (app, website, or phone). AI-powered chat and voice agents guide the process, answer questions, and capture complete details the first time.
Seamless document handling: Intelligent document processing (IDP) engines extract policy numbers, medical details, or damage descriptions, reducing errors and accelerating setup.
AI-powered assessment: AI models validate claims, detect fraud, and analyze images, auto-approving simple cases and escalating complex ones.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
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
Publisher resources
1 linkLinked 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.

