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“Case Study: How One Insurer Significantly Lowered Loss Adjustment Expense & Improved Claims Processing with Market-Proven AI from EIS”

In a competitive insurance market, efficiency and customer satisfaction are key. Discover how a regional P&C insurer was able to lower loss adjustment expenses (LAE) and streamline claims processing by taking an omni-channel claims approach, powered by AI.

As a mutual insurance agency focused on improving customer satisfaction and experiences, a regional P&C insurer recently faced challenges in their claims process. Manual data collection efforts created inefficiencies and variable data points while managing claims. This resulted in a customer experience that wasn’t reflective of their core principals.

This case study details their journey in improving the claims process through an automated, omni-channel approach, powered by AI. Download now and learn how they achieved:

  • A faster claims process: enabled by AI-automated workflows
  • Greater claims efficiencies: resulting in lower LAEs
  • An improved customer-centered, claims experience
  • Enhanced abilities: allowing for a unified data collection process and more data upfront

Learn how to take your claims operations to the next level.

Offered Free by: EIS

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