A New Era of Enterprise AI  |  Announcing Skan AI's Agentic Automation Manifesto  |  LEARN MORE

Carriers investing in AI without process intelligence are building on quicksand. While competitors reduce claims processing costs by 30%, cut turnaround times by full days, and identify millions in hidden automation opportunities, carriers stuck with fragmented approaches watch administrative expenses consume profits and policyholders leave. The carriers winning this race share one critical advantage—but what exactly separates the leaders from the laggards? 

This whitepaper reveals how elite insurance organizations are bridging the gap between AI promises and measurable results. You'll discover why first-party process data has become the most valuable strategic asset in insurance, how top-tier carriers deploy process intelligence to create AI-ready operations, and the exact roadmap global insurance leaders follow to unlock agentic AI's full potential.

Key Takeaways:

Case study: Real-world results
 
Leading P&C carriers deployed AI process intelligence across claims, underwriting, and renewals operations—achieving $12M in annual savings while identifying $10M+ in additional automation opportunities through workforce optimization and process standardization.
 
These results represent more than efficiency gains—they're proof that process intelligence transforms how carriers compete, operate, and prepare for autonomous AI in claims and underwriting. 
  1. Bridge the Chasm with Process Intelligence

    Carriers can't deploy effective agentic AI without understanding how claims adjudication, underwriting, and renewals actually happen. Process intelligence creates digital twins of insurance operations—the essential training data and performance benchmarks that power autonomous AI agents in carrier environments.
  2. Leading Carriers Already Gained Competitive Advantage

    F100 P&C carriers and leading property-casualty insurers achieved $12M in annual savings, $5.5M through process improvements, and $4.9M in automation opportunities by implementing process intelligence first. They're now positioned to capture agentic AI's full value while competitors struggle with claims backlogs.

  3. Your Roadmap Starts with Visibility, Ends with Autonomy

    The four-phase journey—process discovery, optimization, intelligent automation, then agentic AI—requires process intelligence as the foundation. Carriers that start today position themselves to deploy autonomous agents for claims processing and underwriting while others remain trapped in manual workflows.

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