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Automated Claims Processing

Zensar Technologies Ltd · Finance & Accounting

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownProfessional service
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

Modernize Property & Casualty Claims Operations:

Property & Casualty insurers face rising claim volumes, persistent fraud exposure, regulatory scrutiny, and pressure to resolve claims faster without adding operational cost. This professional services offering delivers an intelligent multi-agent solution that automates the end-to-end claims lifecycle—from First Notice of Loss (FNOL) through settlement recommendation—while routing complex, high-value, and exception-based claims to human adjudication.

Show the rest of the publisher’s description (15 more lines)

The outcome is a claims operation that moves faster, applies decisioning consistently, and produces a transparent, auditable record for every claim.

Intelligent Multi-Agent Framework:

At the core of the solution is a coordinated set of specialized AI agents, each responsible for a distinct stage of the claims journey—intake, coverage validation, document and image analysis, fraud and risk scoring, damage and medical assessment, financial estimation, and decision orchestration.

Rather than operating in isolation, the agents pass context to one another under a central orchestration layer, escalating to human reviewers whenever a claim meets defined thresholds for value, complexity, or regulatory sensitivity. Every automated recommendation carries explainable reasoning, so adjusters and auditors can understand how each conclusion was reached.

Business Capabilities:

  • Digitize omnichannel FNOL intake across web, mobile, chatbot, voice, and assisted channels
  • Automate document classification, image analysis, and evidence collection
  • Validate policy coverage and eligibility before adjudication
  • Assess vehicle and property damage using AI-assisted computer vision
  • Apply continuous fraud detection and risk scoring across the claims lifecycle
  • Generate liability assessments, reserve estimates, and settlement recommendations
  • Route complex or high-value claims to configurable human-in-the-loop review
  • Maintain end-to-end decision traceability and audit-ready records

AWS-Native Architecture:

The solution is built on AWS, using Amazon Bedrock for foundation-model reasoning and Amazon Bedrock Guardrails for responsible AI controls, with AWS Lambda for event-driven compute and AWS Step Functions orchestrating multi-agent workflows. Amazon Simple Storage Service (Amazon S3) stores claim documents and evidence, while AWS Identity and Access Management (IAM) and AWS Key Management Service (AWS KMS) enforce access control and encryption. AWS CloudTrail, Amazon CloudWatch, AWS Config, AWS Security Hub, and AWS Control Tower deliver auditing, observability, and governance across the environment.

Highlights

Highlighted by the publisher on AWS Marketplace.

Up to 50% faster claims cycle

Up to 30% lower processing cost

Higher straight-through processing rate

Agent build and provenance

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Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource

Linked repositories

RepositoriesUnknownUnknown

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Pricing
Unknown
Not stated
Delivery
Professional service
Please contact the Zensar AI Center of Excellence (AICoE) team at awsmpsales@zensar.com for further queries.
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