​​AI that works for Insurance Leaders

​Powered by Firemind, AWS & NVIDIA.

​​This invitation-only roundtable brings together senior insurance leaders across business and technology to discuss how GenAI moves from pilots to enterprise-wide competitive advantage, supported by production-ready platforms, operating models, and cross-functional accountability.

​Why this matters now?

​Insurance leaders have proven that AI works—in pilots. The challenge now is scaling it across underwriting and claims without creating inconsistency, cost, or risk.
That challenge increasingly sits at the intersection of business ownership and technology enablement.

​Agenda Overview

​​4:00 PM | Welcome & Context:

​From AI potential to business accountability.

​Why responsibility for AI outcomes is shifting to underwriting, claims, risk, and the technology platforms that support them.

• ​What accountability looks like once AI is embedded in day-to-day decision-making. 

• ​Why alignment between business leaders and technology leaders is now critical to scale

​4:10 PM | Customer Perspective

​From pilot to production: what actually changed

​4:20 PM | Peer Discussion #1: Why AI stalls in business lines

​A cross-functional discussion on why promising AI initiatives struggle to scale, including:

• ​Inconsistent adoption across teams, regions, and systems

• ​Trust, explainability, and regulatory concerns

• ​Process friction, change management, and platform readiness

​4:40 PM | From use cases to workbenches

​Embedding AI into underwriting, claims, and risk workflows 

​How AI moves from standalone tools into everyday decision environments, including the role of platforms such as AWS Underwriting Workbench in enabling governed, repeatable adoption across lines of business. 

​4:50 PM | Peer Discussion #2: Agentic AI in practice – creating competitive advantage 

​A peer-led discussion on where agentic AI can genuinely improve underwriting speed, claims efficiency, and risk consistency, and where human oversight remains essential. 

​5:00 PM | Scaling what works: What must be in place

​Why scaling AI across underwriting and claims changes performance and cost dynamics, including: 

• ​When GPU acceleration materially improves throughput and response times 

• ​How accelerated compute supports more complex, agentic workflows 

• ​What business leaders should understand about cost predictability as AI usage grows 

​​5:15 PM | Wrap up: The insurance leader’s AI scale playbook

​Key takeaways for business and technology leaders looking to turn AI into sustained, defensible competitive advantage.

​5:30 PM | Networking canapés and drinks

​Continue the Conversation with Peers and Experts.