Generative and agentic AI are changing how insurers think about software development, making it faster and easier to build tailored applications in-house. But does that mean insurers should build rather than buy?

Nigel Gardner of Charles Taylor InsureTech argues that AI may lower the barriers to software development, but it does not remove the complexity of insurance. Policy administration, claims, underwriting and risk management require specialist expertise, robust governance and regulatory compliance.

Rather than replacing established core systems, insurers can take a modular approach, introducing AI incrementally through an intelligence layer that connects existing platforms with new capabilities. This enables insurers to automate workflows, generate insights and improve decision-making while maintaining operational stability.

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