Hub International Reports 85% Productivity Gain from Claude AI
Global insurance broker Hub International reported 85% productivity gains and 90% user satisfaction after deploying Anthropic's Claude AI to more than 20,000 employees. The AI is used for agentic automation tasks including claims intake, document analysis, and renewal triage. The large-scale rollout demonstrates the real-world impact of LLM agents on core insurance operations.
Hub International's large-scale AI adoption is the progression of a multi-year strategy that began with robotic process automation in 2020 and expanded into generative AI in 2022. This foundational work in automation allowed the firm to move quickly once AI models matured, focusing on improved accuracy and robust security and compliance controls. The company has now organized its deployment around six pillars, including foundational AI, agentic workflows, and specialized custom solutions. The rollout leverages the full Anthropic stack: Claude Enterprise for knowledge workers, Claude Code for technology teams, and the API platform to build custom agentic solutions. This strategic approach provides tailored tools for different roles, such as account managers and customer support, to enhance business processes and software development. Hub selected Claude for its performance in complex reasoning, low hallucination rates, and a security architecture designed for regulated industries like financial services. Agentic AI workflows are a core component of the deployment, shifting from simple task automation to orchestrating complex, end-to-end business processes. These AI agents can interpret context across multiple systems, decide on the next best action, and manage a process from intake to resolution with built-in governance and human-in-the-loop oversight. This allows for the automation of intricate workflows in claims processing and exception management. The implementation aims to streamline operations across a company that has grown rapidly through acquisitions, averaging 60 to 70 deals per year. This rapid expansion created a complex environment with disparate systems and data, making standardized and efficient data processing a significant challenge. The AI initiative is designed to normalize these processes and more quickly integrate new acquisitions. For developers, the choice between Anthropic's models like Sonnet and Opus involves a trade-off between cost and specialized capability. While Opus excels at tasks requiring deep, expert-level reasoning, the more cost-effective Sonnet is nearly on par for a majority of coding and automation tasks, making it the practical choice for large-scale deployments. This allows a firm like Hub to manage costs while reserving the more powerful model for specific high-stakes use cases. This move occurs as the insurtech venture landscape is maturing, with investors prioritizing scalable business models and a clear path to profitability. While overall deal volume has decreased, funding for AI-focused startups remains strong, with AI-centered insurtechs capturing nearly 75% of all funding in Q3 2025. Large-scale enterprise adoption like Hub's signals a market shift from experimental pilots to deploying AI for core business functions like underwriting and claims.
