TCS Agentic AI Insurance Decisioning (Bedrock Agents for claims intake & adjudication)

Use case typeIntelligent document processingUpdated Jun 13, 2026

Tata Consultancy Services (TCS) provides an AI-native platform for insurance claims processing that transforms a linear claims workflow into an agent-driven ecosystem. The solution uses Amazon Bedrock Agents with specialist agents to handle document and image ingestion, data extraction, NIGO checks, triage, anomaly detection, and auto-adjudication across workers compensation and disability claims, including live audio transcript generation and dynamic FNOL form filling.

Organization
Tata Consultancy Services
Industry
Insurance
Location
United States
Published
June 2026

Reported outcomes

−80%

timeTime & speed

−50%quantified impact−50%accuracy−40%time+67%accuracy

Strategic outcomes

New product / capabilityTransformed claims workflow into agent-driven ecosystemNew product / capabilityEnabled end-to-end claims automationRisk & complianceImproved compliance evaluation and decisioningSpeed & agilityEnabled around-the-clock claims processing

Primary read

Use case focus

Showing 3 of 5

  • 1Claims processing
  • 2Intelligent document processing
  • 3Agentic workflows
Traditional claims handling is linear and rules-based, making it difficult to scale and maintain compliance and consistency across unstructured inputs during FNOL intake and adjudication.
  • An agent-driven ecosystem orchestrates modular specialist agents across intake-to-adjudication workflows.
  • The system uses Amazon Bedrock Agents, with knowledge retrieval and tool invocation plus governance and audit services such as AWS IAM, Amazon X-Ray, and Amazon GuardDuty.
  • Fine-tuned LLMs trained on insurance datasets and regulations support compliance evaluation and nuanced decisioning.
Technologies
Amazon Bedrock AgentsAmazon GuardDutyAWS IAMAmazon X-RayMCP
  • Anticipated 50%+ reduction in reserve leakage.
  • 80% faster litigation risk identification.
  • 30-50% reduction in manual errors.
  • About 40% faster processing time.
  • 67% improvement in fraud detection accuracy.
  • 24/7 AI-driven claims processing.
Architecture

The solution is described as an AI-native, agent-driven insurance claims platform built around Amazon Bedrock Agents. It uses specialist and modular agents for document and image ingestion, data extraction, NIGO checks, triage, evaluator/anomaly detection, auto-adjudication, and FNOL support. The article also mentions tool invocation via MCP, knowledge retrieval, and governance/audit with AWS IAM, Amazon X-Ray, and Amazon GuardDuty.

Sources & evidence1
Groundedness: 5/5Published: Jun 8, 2026Publisher: AWS MarketplaceEvidence: VendorConfidence: Medium
Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

Explore related AI use cases
Customer evidence
More from Tata Consultancy Services
Provider evidence
AWS provider pageAWS ranked cases
Market context
Insurance AI use casesInsurance industry insightsUnited States country insights
AI patterns
AgentMulti-agentFine-tuning
Browse the catalog
All AI use casesAI use-case typesIntelligent document processing use cases

Was this useful?

Similar cases