Page 41 - The Insurance Times February 2026
P. 41

Insurance AI




          The Missing



          Architecture of



          Insurance AI: Why




          India Must Shift From                                                            Sandeep Khuperkar


                                                                                                  CEO & Founder
          Use Cases to Systems                                                                      DSW Unify AI





           India's insurance sector is at a pivotal point. Digital adoption is strong, regulators are encouraging
           innovation, and customer expectations are rising faster than product cycles. But the real
           breakthrough we need next will not come from "more models." It will come from re-engineering the
           systems in which AI operates.

         F     or some time now, the insurance industry has adopted  Y  A fraud score triggers flags but doesn't integrate with

                                                                 claims approval systems.
               AI in fragments-a fraud model here, a claims bot there,
               and an underwriting score somewhere else. Most of
         these initiatives succeed in isolation. Yet, when insurers  Y  Underwriting recommendations do not align with policy
                                                                 rules or pricing engines.
         attempt to scale them across a business line or a policy
         lifecycle, they confront a surprising bottleneck: the problem  Y  Audit trails are inconsistent because each tool records
         is not the model; the problem is the system around it.  decisions differently.
                                                              Y  Scaling across states, regions, or business lines creates
         India's insurance sector is at a pivotal point. Digital adoption  inconsistencies.
         is strong, regulators are encouraging innovation, and
         customer expectations are rising faster than product cycles.  These issues are not mathematical failures; they are
         But the real breakthrough we need next will not come from  architectural ones. Insurers don't lack algorithms.  They
         "more models." It will come from re-engineering the systems  need systems that coordinate algorithms across the
         in which AI operates.                                enterprise. And this is exactly where India's next leap in AI-
                                                              enabled insurance will be defined. The System Lens: Why
         This shift from task automation to system orchestration is  Insurance Must Think Beyond Just Models. Insurance is a
         where the next decade of InsurTech innovation will unfold.  system business, not a task business.

         AI Works… Until It Has to Work With                  A claim settlement is not a single AI event. It is a series of
                                                              tightly coupled steps:
         Everything Else                                      1. Intake and documentation
         Ask any insurer why AI pilots stall. The answers sound similar  2. Policy validation
         across motor, health, life, and commercial lines:
         Y   The model works, but the workflow doesn't accept its  3. Coverage interpretation
             output.                                          4. Fraud risk scoring

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