US insurers are not short of pressure - catastrophes, social inflation, nuclear verdicts, rising severity, legacy systems, scarce expert talent - and rate and reserves can no longer carry performance alone. The advantage now goes to carriers that turn vast, unstructured data - submissions, policy wordings, loss runs, claims files - into faster, sharper, more consistent decisions.
Most stall before they get there: more than half of AI projects never leave the pilot, producing outputs no underwriter, adjuster, or regulator can stand behind. That gap - between the AI you demoed and the AI you can point to in the P&L - is the Production Gap. This guide is about closing it with Anthropic's Claude.
What that looks like in production:
- $150m in new sales identified and $10.4m saved by avoiding bad deals at a global specialty carrier
- Millions in regulatory capital freed at a major multiline insurer through sharper underwriting
- Millions in underwriting cost efficiencies at a specialist marine carrier through agentic underwriting
Inside:
- Why Claude fits insurance - reliability and steerability under regulation, long-context reasoning over dense claims and submission files, and code-native capabilities, all within your existing controls
- Where Claude creates value across the chain - underwriting, pricing, claims, and distribution - across three surfaces: Claude Code, Claude Cowork, and custom agents on the Claude Agent SDK
- A concrete first move: three parallel tracks that turn a scoped pilot into production while standing up governance early
The Production Gap is real - and in US insurance, it is being closed today.
Access the guide →
