[Case study](/case-studies)24 January 20241 min

# An F200 P&C Carrier Automates and Improves Claims Process with Skan AI

A client case study on How Skan Helps F200 P&C Carrier Automate, Accelerate Continuous Improvement in Claims

Cost Savings

$14.3M

$14.3M

Automation

10X

10X

Industry

[Insurance](/case-studies/industries/insurance)

Company Size

20,000+

Revenue

$120B+

Location

United States

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The Fortune 200 financial services group, and a leader in property and casualty insurance, group benefits, and mutual funds, sells products primarily through a network of independent agents and brokers. They are the only nationally endorsed direct auto and home insurance program for AARP’s nearly 38 million members.

## Objective

With the rising challenges in insurance due to financial, medical, and social inflation, the client wanted to empower and engage frontline workers to drive new levels of efficiency, innovation, and customer satisfaction.  
  
By introducing new data-enabled operational capabilities, they wanted to reduce claims leakage rates through Continuous Improvement (CI) techniques.

## Solution

Historically, the client generated process maps manually, but this approach proved outdated when it came to implementing fast-paced improvements across their organization. The fix? Skan AI’s process maps were auto-generated and updated in real-time.  
  
Skan AI helped the client gain [workforce productivity](https://www.skan.ai/use-cases/workforce-productivity) insights, which helped improve overall performance. The unit cost analysis provided by Skan AI granted insights into the cost, speed, and accuracy of key processes and shared recommendations on additional ways to improve overall efficiency.

## Outcome

Based on analysis from Skan AI's [process intelligence platform](https://www.skan.ai/process-intelligence), the client implemented recommendations that yielded a 19% gain in Utilization, a 14% gain in Productivity, and improved the minutes it took to close an individual case by 16%. To keep things running smoothly, the team implemented control loops to prevent slippage, as recommended by Skan AI.  
  
The decisions and interactions per FTE per day improved by 16%. Also, Skan AI's work data was consumed more by front-line workers (62%) than managers (38%). Hence, Skan AI helped the team place front-line workers at the top of the work pyramid, where customers need them.

Industry

[Insurance](/case-studies/industries/insurance)

Company Size

20,000+

Revenue

$120B+

Location

United States

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