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AI in insurance: Understanding the implications for investors (McKinsey & Co.)

  • 1.  AI in insurance: Understanding the implications for investors (McKinsey & Co.)

    Posted 3 hours ago

    Recent update from McKinsey & Co.

    AI in insurance: Understanding the implications for investors

    The potential for AI-driven portfolio value creation:

    • Traditional AI in the form of predictive data analytics is already established in fraud detection, pricing, and risk modeling.
    • Generative AI is beginning to reshape document-heavy tasks like policy issuance, submissions, and some aspects of claims handling and adjusting.
    • An emerging frontier of agentic AI promises to autonomously manage end-to-end workflows, from purchasing to select risk assessment.

    Four priorities for investors:

    • Embedding AI evaluation and value creation across the deal life cycle
    • Instituting a firmwide AI playbook
    • Scenario planning in a dynamic environment
    • Projecting how AI will change talent models

    - Todor



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    Todor Kostov
    Director
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