The technology foundation that powered insurance for the last 30 years isn't the one that will power the next 30. Global insurers spend an estimated 70% of their IT budgets maintaining legacy systems built for batch processing, manual workflows, and siloed data. McKinsey estimates AI could unlock more than $1.1 trillion in annual value across the industry.
Closing that gap starts with a shift most insurers haven't made yet: from fragmented, decision-support AI to unified platforms where autonomous agents orchestrate underwriting, claims, billing, and customer engagement – pursuing business outcomes, not just recommending them. This whitepaper, drawn from private executive masterclasses held at Sapiens' London offices, shows you how.
Inside this whitepaper
- See why siloed AI pilots stall out, and what it takes to embed AI into a unified platform that spans the entire insurance lifecycle
- Understand the shift from decision-support AI to outcome-seeking agentic AI that executes work, not just recommendations
- Learn why domain-specific, micro-vertical platforms outperform generic horizontal software for insurance AI
- Get a five-step roadmap for moving to an Outcome-as-a-Service model, from redefining technology value to preparing your data foundation
- Explore real numbers: 70% of IT budgets tied up in legacy maintenance, $170 billion lost annually to poor claims experiences, and $1.1 trillion in AI value still on the table
Download the whitepaper below.
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