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Personal Accident or Death Claims using AI

Created On: 10 Mar 2020
Type: Web
Developed in: 150 days
Category: Insurance, AI, Automation, Digital adoption, AIOps, BigData, Analytics, Covid-19, AI Computer Vision, Application Modernization
Description:

This solution helps in enabling claims team to faster asses the intimation data, documents reading & processing, data match among multiple documents, building investigation audit for conducting investigation and providing final claims assessment with adding multiple processes and rules already available with Insurance Companies. The idea is to digitally enhance the PA (Personal Accidental) process for reducing time, assessing better, building more AI Based risk /fraud triggers and reducing processing cost


Features
  • AI based end to end digital solution for Accidental & Death claims
  • Historical Learning based in-depth trigger analysis for risk & fraud activities
  • Printed, Handwritten (FIR, Post-morterm, Affidavit, KYC, Death Certificate etc.)Document digitisation for quick claims processing
  • Automated QC, document data match with internal and external environment
  • Using 3rd party or external data like news, FIR, google map, trends, risks, social, historical, triggers, matching etc. provide audit for claims intimation assessment for investigation need
  • Document extraction & Matching for possible key triggers and authenticity check
  • QC process, Audit process in bulk claims check
  • System for probability of claims investigation need based on multiple data attributes
  • Enabling intimation based claims investigation analysis
  • Risk and fraud detection for claims
  • Reasons based on Machine Learning approaches was provided for each claim’s investigation need
  • Reduction in claims processing time, reduction in costs and reduction in fraud
Screenshots
  • claims-dashboard Click to enlarge
    accidental-death-claims-dashboard
    claims_profile Click to enlarge
    claims-profile
    claims_decision Click to enlarge
    claims-decision
    documents_claims Click to enlarge
    claims-documents