Insurers are remodeling fundamental processes by using Robotic Process Automation (RPA) and Artificial Intelligence (AI) to drive customer-centric strategies. From underwriting and pricing to personalized product bundles and regulatory compliance, RPA and AI-infused processes are increasing the speed and accuracy of operations. The widest adoption of RPA and AI is seen in the area of fraud detection and scams prevention to enable early detection of suspicious claims.

Processes to be automated

Some leading examples and use cases across critical insurance processes:

  • Underwriting and pricing: risk and policy coverage determination, coverage by endorsement, negotiations with the client through chatbots
  • Claims processing, customer risk analysis, fraud detection and scams prevention
  • Marketing and sales: improving brand protection
  • Policy administration and servicing: immediate client response about policy status and payments, automated policy renewals, alert customers in case of pre-loss warnings based on sensor data, facilitate preventive repair and maintenance, customer identification, process queries in natural language and make proactive suggestions based on the customer’s profile


  • Increase the speed and accuracy of operations
  • Reduce expenses
  • Improve customer satisfaction
  • Raise level of security