Carriers have spent years implementing underwriting workbenches—organizing information faster without changing what underwriters actually do. But faster doesn’t solve the fundamental problem: underwriters are still doing work that systems should handle and aren’t yet empowered to apply their expertise at scale.
Join Datos Insights Senior Principal Meredith Barnes-Cook for the first session of our Underwriting Workbench Series, as she explores the architectural shift from bolt-on tools to AI-native intelligence platforms with weav.ai CEO & Founder Peeyush Rai and CRO Jeffrey Heine, plus Trium Property CTO Sean Rand. We’ll examine real deployment insights, efficiency metrics, and what changes when you build with AI as the foundation.
What You’ll Learn:
- Bolt-on vs. AI-native: why architectural choices determine deployment complexity and long-term flexibility
- From “a place to work” to “a system that thinks”: platforms that execute carrier logic, not just display data
- Use cases like Appetite, Triage, Risk Evaluation, and Renewals reimagined for maximum business value
- Agentic AI with insurance-appropriate guardrails (the Tesla analogy that actually works)
- Composable strategies that enhance existing Guidewire ecosystems and carrier-built tools without rip-and-replace
- Real deployment metrics: efficiency gains and workforce transformation outcomes
- The talent multiplier: accelerating assistants into full underwriters while experienced staff focus on relationships and discretionary judgment
Who Should Attend:
Underwriting, technology, and operations leaders evaluating whether current platforms address root problems or just digitize existing inefficiencies—especially those planning book expansion without proportional headcount growth.
This isn’t a capabilities demo. It’s a strategic conversation about architectural decisions that determine whether technology transforms operations or just accelerates the status quo.
