How AI is Reshaping Insurance Underwriting and Claims Processing

AI is transforming insurance by automating onboarding, underwriting, and claims with advanced data analysis. Insurers must adopt enterprise-wide AI strategies to boost efficiency and personalize services.

Categorized in: AI News Insurance
Published on: Jul 22, 2025
How AI is Reshaping Insurance Underwriting and Claims Processing

How AI Is Transforming Underwriting and Claims in Insurance

Artificial intelligence is set to take over nearly all customer onboarding and policy processes in insurance. According to McKinsey’s insight report, insurers that deeply integrate AI will process more business faster, provide more personalised services, and gain sharper insights into risk.

Unlike previous technology trends, generative AI offers advanced reasoning, creativity, and empathy. These qualities can significantly improve underwriting, claims handling, and customer interactions. AI efficiently processes unstructured data such as text and images, enabling tools like automated voice agents and real-time customised underwriting and claims assessments.

Moving Beyond Pilots

To truly benefit from AI, insurers need to go beyond isolated pilot projects. McKinsey recommends a clear enterprise-wide AI strategy combined with a redesign of end-to-end workflows. This includes upgrading data management, technology infrastructure, talent, and governance rather than just adding AI onto existing systems.

  • Boost operational efficiency
  • Reduce costs
  • Deliver seamless, personalised customer experiences

The Future of Customer Onboarding and Policy Management

Looking ahead, AI is expected to manage almost all aspects of customer onboarding and policy administration through multi-agent systems. These virtual agents will collect data, analyse risk, suggest pricing, ensure compliance, and coordinate decisions. Human intervention will be reserved for complex or exceptional cases.

Challenges to Overcome

Realising this future depends on addressing common barriers such as data silos and governance issues. Insurers must focus on breaking down data barriers and establishing clear AI oversight to unlock the full potential of these technologies.

For insurance professionals interested in expanding their AI knowledge and skills, exploring dedicated AI training courses can be valuable. Resources like Complete AI Training’s insurance-specific courses offer practical pathways to understanding AI implementation in the sector.


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