Page 30 - The Insurance Times March 2025
P. 30

vestigators results in misalignment in gathering crucial  vestigators, face match and ID verification, intelligent
             data and high turnaround time (TAT)                 data enrichment, and auto-report generation.
         iv. Data consolidation challenges: Historic case data of-  iv. Efficient Vendor Collaboration: Centralizes vendor in-
             ten resides in disparate, siloed systems that lack inte-  teractions,  providing  tools  for  case  assignment,
             gration, leading to gaps in the ability to track and moni-  workflow management, and reports with real-time
             tor recurring fraudulent behaviors over time.       updates and performance tracking.
                                                              v.  Privacy-aware Data Management: Implements robust
         v.  Lack of data-privacy: Current processes inevitably ex-
             pose sensitive policyholder and investigation data to un-  encryption, access control, and compliance mechanisms
             authorized access, increasing the risk of misuse, legal  to safeguard sensitive policyholder information and in-
             penalties, and loss of customer trust.              vestigation data from unauthorized access and misuse.

                                                              The result? Enhanced accuracy, fewer errors, and a 3x boost
         These manual investigation workflows and outdated prac-
                                                              in field operation productivity. The platform helps insurers
         tices are creating a perfect storm for inefficiency and mis-
                                                              resolve cases faster during pre-issuance and claims, reduc-
         takes. These gaps in the system not only slow things down  ing average investigation time by at least 25%.. It saves
         but also give fraudsters the opportunity to exploit weak-  investigators over 12 hours per week on manual data entry
         nesses. It is clear that the industry urgently needs smarter,  and reporting, allowing them to focus on detailed investi-
         more efficient investigation systems to close these gaps,  gations and cross-checks.. This not just helps FCUs to get
         reduce errors, and keep pace with evolving fraud tactics.  more investigations done faster but it also proves beneficial
                                                              for genuine customers who enjoy an 80% reduction in re-
         Leveraging AI and Automation for Inves-              jections due to enhanced data integrity and robust docu-
         tigation Efficiency                                  mentation that supports underwriting and claims decisions.

         In the quest for a more efficient and comprehensive system, it  Unlock Efficient Fraud Control with AI-
         is widely recognized that AI-assisted technological transforma-
         tion is needed to overcome the challenges in fraud control. powered Insurance Investigations
         Artificial intelligence has already had a significant impact on  Minimizing risk, especially through preventing frauds, is cru-
         various sectors, and its potential in insurance fraud detection  cial in the insurance industry, where managing potential
         is vast and untapped. With a sophisticated AI system, insur-  losses can make or break a business. Having the right tools
         ance companies can quickly and precisely identify and address  in place to streamline investigations is key to quickly spot-
         fraudulent activities, thereby reducing the time, resources, and  ting and responding to fraudulent proposals and claims while
         financial burdens associated with combating fraud.   ensuring legitimate ones are processed without delay.

         This is where fraud control systems like the Kriyam.ai Inves-  An AI-powered investigation platform like Kriyam.ai is the
         tigation Platform come in. By tapping into the power of ar-  key to combating fraud and saving crores in losses. With
         tificial intelligence and integrating smart automations into  Kriyam.ai, insurance investigations become faster, more
         the workflow, it doesn't just streamline operations-it super-  accurate, and fully secure-helping insurers reduce risk, im-
         charges them.                                        prove profitability, and maintain a competitive edge.

         Here's how Kriyam.ai is revolutionizing the inves-   Reference
                                                              1  https://timesofindia.indiatimes.com/city/mangaluru/
         tigation process:
                                                                 about-15-of-insurance-claims-in-india-are-fraudulent-
         i.  Paperless Operations: Digitizes every step of the in-  says-expert/articleshow/108280703.cms
             vestigation process through web and mobile apps, elimi-  2  https://www2.deloitte.com/content/dam/Deloitte/in/
             nating physical document handling and minimizing er-  Documents/financial-services/in-insurance-fraud-sur-
             rors.                                               vey-2023-noexp.pdf
                                                              3  https://groww.in/blog/insurance-frauds-in-india
         ii.  Centralized Case Monitoring: Offers all case data con-  4  https://indiaforensic.com/india-loses-6-25-billion-to-
             solidated into a single pane of view with AI-enabled  insurance-frauds-an-indiaforensic-research/
             insights and anomaly detection, enabling insurers to  ?srsltid=AfmBOor1qMLjUZPfKriYv_JYvFoIJOQq-
             monitor investigations effectively.                 XM6fXahL49oOueBaZ0K4A22
                                                              5  https://www.business-standard.com/finance/insur-
         iii. AI powered Workflows: Utilizes artificial intelligence  ance/irdai-annual-report-2023-24-insurance-penetra-
             and rule-based automations for assigning cases to in-  tion-decline-124122500470_1.html

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