Three years into the AI revolution, most carriers remain stuck in pilot purgatory. The challenge isn’t AI itself. It’s distinguishing between solutions built on general-purpose AI versus true enterprise platforms, and understanding which approaches require complex integration that extends timelines by years.
Join us for the second session in our Underwriting Workbench Series as Datos Insights Senior Principal Meredith Barnes-Cook sits down with IntellectAI EVP and Insurance Business Head Sandeep Haridas, for a candid conversation about what underwriting technology should actually deliver in 2026 and beyond. Sandeep brings a unique practitioner perspective, transitioning from IT director to underwriter at Liberty Mutual before building technology on the vendor side.
What You’ll Learn:
- How to separate serious solutions from AI theater: what tiered AI pricing and visible ChatGPT responses reveal about vendor approaches
- What “complete” actually means, from submission arrival to non-renewal letter five years later, and why integrated platforms beat assembling multiple vendors
- Real implementation timelines: a case study going from contract to first policy in 15 weeks versus traditional 3+ year approaches
- How underwriters chose the platform over Excel without mandates, and what that reveals about practitioner-built technology
- Questions to ask vendors that reveal whether they understand practitioner needs or just their demo scripts
Who Should Attend:
- Chief Underwriting Officers and underwriting leadership evaluating technology investments
- Insurance technology executives and CIOs managing underwriting platform selection
- Product leaders planning new line launches or book expansions
- Change management and operational leaders responsible for technology adoption
This isn’t a product pitch. It’s actionable intelligence about technology decisions that separate carriers capturing market share from those still evaluating options.
