Rakesh More

Rakesh More is program lead — AI at Arthur J. Gallagher.

He advises organizations on scaling AI across claims, underwriting, and customer operations with an emphasis on governance, accuracy, and compliance.

Most Recent

Insurance AI Requires Specialized Guardrails

Rakesh More

Generic AI safety tools can't address insurance's unique risks; specialized guardrails are essential for responsible deployment.

Six Things

The Smartest Things I've Read Lately About AI

By Paul Carroll

As we move up the learning curve on implementing generative AI, some are challenging, for instance, the idea that AI agents should be treated as employees.

Insurance Hiring Practices Hamper Transformation (Part 1)

Insurance companies hire for sector expertise, but transformation demands cross-boundary judgment that traditional filters miss.

Uninsured Driver Problem Isn't What You Think

Non-standard auto insurers' fee structures may be producing the very uninsured population they're designed to avoid.

The Critical Flaw in Insurance AI

Agentic AI exposes insurance's critical flaw: Insurers cannot consistently deliver decision-ready data when and where it matters.

Regulators' Scary Demand on Insurance AI

Regulators aren't asking if your AI works—they're asking which named human was accountable when it didn't. If there isn't one, the person on the hook may be you.

Tackling the Commercial Property Insurance Gap

Commercial buildings lose their documented history through ownership transfers, creating costly underwriting and claims exposure for property insurers.

Agentic AI Transforms E&S Policy Binding

As E&S market surges, agentic AI cuts policy binding from 21 days to three, transforming specialty insurance operations.

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