a national property and casualty trade association

A national property and casualty insurance trade association had spent more than a century collecting, analyzing, interpreting and distributing knowledge for hundreds of member carriers. Advocacy, policy, compliance, data services, research and member engagement were the value proposition.

Generative AI put both sides of that on the table. It could improve how a knowledge-intensive organization operates. It could also make research, analysis, summarization and retrieval cheap enough that members stop paying for them.

The questions in front of leadership were not about platforms. Which services are most exposed. What members will expect next. Where to invest first. How to remain the trusted voice of the industry as the cost of information approaches zero.

Coologee worked with executive leadership to build the enterprise AI strategy and the long-term innovation roadmap, using stakeholder interviews, industry and competitive analysis, AI market research and facilitated workshops to assess every major function.

• Enterprise AI opportunity and risk assessment
• Executive stakeholder interviews
• Competitive and market analysis
• Value proposition evaluation
• Organizational readiness assessment
• Dogma/Heresy innovation workshops
• Product strategy and AI roadmap
• Governance and implementation recommendations

The framing mattered more than the inventory. AI was treated as a business strategy problem, not a technology initiative, and every opportunity was scored against member value, institutional protection, operational efficiency, advocacy effectiveness and growth.

The organization got its first enterprise-wide AI strategy, and a way of thinking about AI that was not a list of tools.

• A multi-year enterprise AI strategy with a prioritized roadmap
• Senior leadership aligned on priorities and investment
• An AI-driven product portfolio framework
• Six strategic applications identified, spanning policy intelligence, advocacy support, compliance advisory, member intelligence, knowledge management and reporting automation
• An assessment of the risks AI-driven disruption creates for the association model
• Governance and implementation recommendations

The conversation moved from productivity to advantage. Instead of reacting to disruption, leadership had a position on what the association should become as AI changes what members will pay for.