Whether policy templates live in code or a separate document system, MGAs should settle four questions about changes before go-live.
Commentary
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Insurance Operations by Exception: Where AI Adds Value
Rules, verified data and clear accountability enable insurers to automate routine work while detecting exceptions—and errors that escape initial checks.
MGAs Can Differentiate by Closing the Data Trust Gap
MGAs that deliver consistent, transparent data can reduce carrier reconstruction work, strengthen confidence and compete more effectively for capacity.
When AI Agents Escape, Who Pays?
Autonomous agents are creating exposures faster than contracts, courts and insurers can determine who should bear the resulting losses.
Navigating AI’s Mass Personalization Opportunity in Insurance
AI can help insurers tailor experiences at scale, provided they apply it to genuine customer needs rather than efficiency alone.
AI in Portfolio Management: A Tool, Not a Decision Maker
Farah Ismail examines how commercial insurers can apply AI to portfolio management without displacing disciplined analysis, governance and human judgment.
Insurance and the Growing Trust Deficit
The insurance industry has always had a trust problem. What is different today is the intensity—and the number of forces converging to make it harder to ignore.
Agentic AI Meets the Core System Nobody Wants to Touch
As insurers place AI agents around legacy cores, the interface with the system of record becomes a governance layer.
Is Your Insurance Core System/Platform Agent-Ready?
As AI agents become technology consumers, insurers may need to evaluate core platforms on more than APIs.
Preparing Insurance for the Agentic Era
Insurers must redesign workflows, governance and human oversight before AI agents can move safely from pilots into business-critical operations.