AI-Powered P&C Insurance Claims Automation leveraging Kognitos

PROBLEM

Property & Casualty (P&C) insurance claims processing including Personal Auto, Homeowners, Workers Compensation, and other insurance line often relies on fragmented systems, manual workflows, and labour-intensive processes. Claims teams spend significant time collecting information, validating policy coverage, reviewing claim documentation, and coordinating activities across multiple systems and stakeholders.

Claims handlers must process large volumes of structured and unstructured data such as claim forms, repair estimates, accident reports, medical records, images, adjuster notes, and customer communications. Manual review and validation of these documents can increase processing times, create operational inefficiencies, and introduce inconsistencies in claim decisions.

As customer expectations shift toward faster, digital-first experiences, insurers face growing pressure to reduce claim turnaround times while maintaining accuracy, fraud controls, compliance, and service quality. Traditional claims processes often struggle to scale efficiently, support straight-through processing, and manage complex claim scenarios, creating a need for intelligent AI-driven automation.

SOLUTION

The AI-Powered Insurance Claims Automation Platform combines Generative AI, workflow orchestration, business rules engines, image analytics, and Human-in-the-Loop (HITL) review capabilities leveraging Kognitos Neurosymbolic AI orchestration framework to automate end-to-end insurance claims processing. The platform supports straight-through processing for low-risk claims while automatically identifying exceptions and routing them to adjusters or specialists for manual review. The solution enables carriers to process claims in minutes instead of days while maintaining governance, explainability, and operational control through Kognitos-powered intelligent workflow execution and orchestration.

The platform supports multiple Property & Casualty (P&C) insurance use cases, including (but not limited to) examples such as,

Workers Compensation Claims Automates claim intake by extracting injury and medical information, validating mandatory documentation, verifying policy coverage, and checking consistency across employer, claimant, and medical records. Missing confirmations or incomplete information are flagged and routed for review.

Homeowners Claims Automates homeowners claim processing through policy validation, damage assessment, estimate verification, and AI-assisted adjudication. Claims containing discrepancies such as pre-existing damage indicators or documentation mismatches are automatically escalated.

Personal Auto Claims Automates FNOL and auto claims processing by extracting accident details, validating coverage, analysing uploaded images, verifying repair estimates, and detecting potential fraud indicators. Claims eligible for straight-through processing are automatically adjudicated, while suspicious claims are escalated for adjuster review.

AWS Services Used - EC2, ECS , Bedrock, Amazon RDS