Streamlining the Insurance Claims Process: A New Framework for Operational Excellence

This strategic research project was designed to explore ways in which SFMAIC, a large mutual insurance company where I currently work, can respond more effectively to the growing frustration caused by rising insurance premiums. Over the last year, I have seen firsthand how these increases are impacting our customers and putting more pressure on our claims staff. Customers are becoming more vocal about their dissatisfaction, and internally, many employees are feeling overwhelmed trying to meet expectations while managing a heavier workload. As a claim specialist, I realized that this issue goes deeper than numbers—it is about trust, communication, and the experience people have when they need us the most. Through this project, I applied a strategic planning framework to better understand both the strengths and the areas where our organization is falling short. I used a strengths-weaknesses-opportunities-threats analysis, internal and external factor evaluations, and the quantitative strategic planning matrix to assess how we are performing and where we have opportunities to improve. One of the biggest issues I discovered was that our onboarding process is not preparing new hires as thoroughly as it could. Many employees, including myself, enter their roles still unsure about key responsibilities. At the same time, our technology has not kept up with the speed at which claims come in or the expectations customers now have. These gaps contribute to delays, errors, and frustration on both sides—internally and externally. What became clear is that we need a strategy that supports both the people behind the scenes and the customers who rely on us. I recommend a combined approach that strengthens employee training and integrates artificial intelligence into our claims systems. The goal is not to replace people—but to give them better tools and more confidence in their roles. AI can help streamline repetitive tasks and reduce time spent on manual processes, while improved onboarding ensures that employees feel capable and supported from day one. When employees are better equipped, they can serve customers with more confidence, empathy, and accuracy. Over time, this creates a stronger, more resilient organization where customers feel heard, and employees feel valued. This project reflects more than just theory, it is based on the reality I see every day. The challenges tied to rising premiums are complex, but they are not impossible to address with the right plan in place. By focusing on both internal operations and customer experience, SFMAIC could not only manage premium increases more effectively but also rebuild trust, retain talent, and deliver better outcomes for everyone involved. My hope is that this project will serve as a practical foundation for long-term improvements.

Publication Details

Journal
NSUWorks (Nova Southeastern University)
Published
2025-05-02
Primary Topic
Innovation, Sustainability, Human-Machine Systems
Type
article
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article

Streamlining the Insurance Claims Process: A New Framework for Operational Excellence

NSUWorks (Nova Southeastern University)
Innovation, Sustainability, Human-Machine Systems
article

Streamlining the Insurance Claims Process: A New Framework for Operational Excellence

article en

Abstract

This strategic research project was designed to explore ways in which SFMAIC, a large mutual insurance company where I currently work, can respond more effectively to the growing frustration caused by rising insurance premiums. Over the last year, I have seen firsthand how these increases are impacting our customers and putting more pressure on our claims staff. Customers are becoming more vocal about their dissatisfaction, and internally, many employees are feeling overwhelmed trying to meet expectations while managing a heavier workload. As a claim specialist, I realized that this issue goes deeper than numbers—it is about trust, communication, and the experience people have when they need us the most. Through this project, I applied a strategic planning framework to better understand both the strengths and the areas where our organization is falling short. I used a strengths-weaknesses-opportunities-threats analysis, internal and external factor evaluations, and the quantitative strategic planning matrix to assess how we are performing and where we have opportunities to improve. One of the biggest issues I discovered was that our onboarding process is not preparing new hires as thoroughly as it could. Many employees, including myself, enter their roles still unsure about key responsibilities. At the same time, our technology has not kept up with the speed at which claims come in or the expectations customers now have. These gaps contribute to delays, errors, and frustration on both sides—internally and externally. What became clear is that we need a strategy that supports both the people behind the scenes and the customers who rely on us. I recommend a combined approach that strengthens employee training and integrates artificial intelligence into our claims systems. The goal is not to replace people—but to give them better tools and more confidence in their roles. AI can help streamline repetitive tasks and reduce time spent on manual processes, while improved onboarding ensures that employees feel capable and supported from day one. When employees are better equipped, they can serve customers with more confidence, empathy, and accuracy. Over time, this creates a stronger, more resilient organization where customers feel heard, and employees feel valued. This project reflects more than just theory, it is based on the reality I see every day. The challenges tied to rising premiums are complex, but they are not impossible to address with the right plan in place. By focusing on both internal operations and customer experience, SFMAIC could not only manage premium increases more effectively but also rebuild trust, retain talent, and deliver better outcomes for everyone involved. My hope is that this project will serve as a practical foundation for long-term improvements.

NSUWorks (Nova Southeastern University)
Openalex Percentile: Top 29%
Innovation, Sustainability, Human-Machine Systems
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