Research and frameworks for insurance leaders evaluating AI — 2 papers on ROI, the AI Tier, and distribution strategy.
AI ROI in Insurance: Building the AI Tier
Despite record AI spending, most insurers struggle to realize measurable ROI. This paper introduces the AI Tier — a conversational operating system that unifies data, automates workflows, and turns AI from a speculative cost center into a predictable profit center. Organized around three pillars: Efficiency, Conversion, and Growth.
What's inside
- →Why 70% of insurance AI projects fail to deliver measurable ROI
- →The three pillars of the AI Tier: Efficiency, Conversion, and Growth
- →How to build a unified conversational operating system across your stack
The Distribution Dilemma: Building the AI Tier for MGAs, IMOs, and FMOs
MGAs, FMOs, and IMOs face a unique paradox: AI investment is soaring but tangible returns remain out of reach. This paper makes the case for a foundational AI Tier purpose-built for the distribution channel — replacing fragmented point solutions with a unified layer that sits between your AMS, CRM, and broker engagement channels.
What's inside
- →Why distribution-specific AI challenges differ from carrier-side problems
- →How fragmented point solutions create hidden costs across your channel
- →The case for a unified AI Tier between your AMS, CRM, and broker tools