Amwins rolls out Claude to nearly 8,000 employees as AI push expands

Amwins said it is expanding AI-enabled tools built on its proprietary data platform, including a Claude rollout to nearly 8,000 colleagues across five divisions. The move shows how the specialty insurance distributor is pairing more than two decades of data investment with enterprise AI to speed work without exposing client data to external model training.

Why it matters: - Amwins is using AI to push specialized insurance knowledge deeper into the firm. - The company says the effort can help brokers and underwriters move faster, improve accuracy and deliver better outcomes for retail clients. - The rollout shows how a data-heavy insurance distributor is trying to turn proprietary information into an operating advantage.

What happened: - Amwins announced a new phase of investment in AI-enabled capabilities built on Amwins DNA, its proprietary portfolio of data and analytics. - The company rolled out Claude by Anthropic to nearly 8,000 colleagues across its five divisions. - Amwins said the AI tools are now a daily part of how employees work. - CEO Scott Purviance said more than two decades of data investment make it possible to put AI alongside employees’ specialized knowledge.

The details: - Amwins introduced Amwins DNA in October 2023 as a firmwide data and analytics platform. - The platform is used to help find solutions for clients, understand market partners’ risk appetite, build capacity, create exclusive products and programs, and identify specialists inside the firm for difficult business classes. - Amwins said its AI tools run in a secure, controlled environment designed to protect company and client information. - The company said its data is not used to train external AI models. - Amwins DNA includes more than 2.2 million submissions and $49 billion in premium placements. - The data includes risk- and policy-level detail across Property, Professional Lines and Healthcare books, plus casualty lines including Construction, Real Estate, Excess Auto, Primary Auto, Manufacturing and Product Recall. - One AI-enabled tool is the market suggestions model built by in-house data scientists. - The model matches submission data with Amwins DNA to predict markets and underwriters with appetite for a specific risk. - The tool is intended to help seasoned brokers spot new market entrants and help newer employees learn faster. - Amwins said its AI work is organized around five priorities: enterprise-approved tools such as Copilot and Claude, automation of repetitive work in client services, business-led initiatives, enterprise-led initiatives built on Amwins data and technology including a custom Amlink MCP, and AI-first software development. - President and COO Ben Sloop said Amwins is applying AI thoughtfully and with discipline. - Sloop said the goal is not to replace expertise but to combine employee skills with data and analytics.

Between the lines: - Amwins is positioning AI as an augmentation tool, not a replacement strategy. - The company is leaning on proprietary data and workflow integration as the main differentiators, not just access to a public chatbot. - The emphasis on privacy and security suggests the firm is trying to reduce one of the biggest barriers to AI adoption in insurance. - Dragoneer’s backing of both Amwins and Anthropic reinforces the company’s connection to enterprise AI investment themes.

What's next: - Amwins is likely to keep expanding enterprise AI use across its divisions as more tools are built on its data and technology stack. - The company said it is continuing to develop enterprise-led and AI-first software initiatives around Amlink, Amlink Docs and Amwins DNA. - The success of the rollout will depend on whether the tools continue to improve speed, accuracy and client service without weakening data controls.

The bottom line: - Amwins is turning years of data investment into a broader AI operating model, with Claude as the most visible sign of that shift.