The Ultimate AI Strategy for Insurance Leaders
Most insurers have AI projects. How many have an AI strategy that delivers measurable business value?
This practical guide by Artem Gonchakov, CEO of Simplifai, helps insurance leaders build an AI strategy focused on claims cycle time, operational efficiency and combined ratio.
Explore a six-phase roadmap for moving from isolated pilots to governed AI in everyday operations.
What you’ll learn
- Prioritise AI opportunities linked to business outcomes.
- Assess readiness across strategy, workflows, data and governance.
- Evaluate AI partners on evidence, ownership and vendor risk.
- Plan implementation with a six-phase roadmap.
- Build in human oversight and audit trails.
- Measure value before scaling with baselines and 90-day decision gates.
Download the guide to turn AI ambition into a practical roadmap.
Key Findings :
From Pilots to Business Value
Carriers with AI projects rarely have an AI strategy and the difference determines whether AI produces isolated improvements or compounding competitive advantages
Workflows, not assistance
Agentic AI is the architecture insurance operations require systems that execute complete workflows, not just assist humans with individual tasks
What the 15% do differently
The 15% of carriers seeing material impact share one pattern: workflow-first deployment with governance built in from day one
Three barriers. One pattern
Three barriers hold most carriers back: ROI skepticism, governance ambiguity, and fragmented deployment across departments
First wins fund everything else
Scaling follows a concentric ring model first wins fund expansion, and every phase builds the audit trail regulators expect
