Primus developed a ML enabled SaaS platform for one of our clients to direct incoming claims automatically.
InsuranceAI & automation
industry contextOperating challenge → Primus delivery → Client value
01 / Business challenge
The operating context
Primus developed a ML enabled SaaS platform for one of our clients to direct incoming claims automatically. The application is a comprehensive, all-in-one solution for automated claims adjustment that is integrated with industry-leading claims management systems. This accomplished the goal of automating the process of routing and managing alternative inspection channels to speed up claims resolution.
02 / What Primus delivered
A solution shaped around the client’s operating need.
Accelerated Claims Processing: This ML-enabled SaaS platform significantly expedites claims processing, reducing the time it takes to resolve claims, and ensuring swift customer satisfaction. Increased Operational Productivity: The automation of claim adjustment leads to increased operational efficiency, enabling employees to focus on higher-value tasks and improving overall productivity. Reduced Claims Processing Cost: The platform streamlines the claims process, reducing manual intervention, which, in turn, lowers the cost associated with claims processing. Enhanced Customer Satisfaction: Swift and accurate claims processing enhances customer satisfaction, leading to stronger client relationships and brand loyalty.
03 / Project detail
The work, methods and business value.
The sections below preserve the substantive detail from the original Primus case study in the new presentation.
01
Engagement overview
Primus developed a ML enabled SaaS platform for one of our clients to direct incoming claims automatically. The application is a comprehensive, all-in-one solution for automated claims adjustment that is integrated with industry-leading claims management systems. This accomplished the goal of automating the process of routing and managing alternative inspection channels to speed up claims resolution.
02
BENEFITS
Accelerated Claims Processing: This ML-enabled SaaS platform significantly expedites claims processing, reducing the time it takes to resolve claims, and ensuring swift customer satisfaction.
Increased Operational Productivity: The automation of claim adjustment leads to increased operational efficiency, enabling employees to focus on higher-value tasks and improving overall productivity.
Reduced Claims Processing Cost: The platform streamlines the claims process, reducing manual intervention, which, in turn, lowers the cost associated with claims processing.
Enhanced Customer Satisfaction: Swift and accurate claims processing enhances customer satisfaction, leading to stronger client relationships and brand loyalty.
03
TECHNOLOGIES
The platform relied on a robust technological stack including Angular,.NET, Machine Learning (ML), and Cloud Services like AWS and Azure. These technologies worked seamlessly together to create a secure, scalable, and user-friendly solution that automated claims processing, ultimately granting our client a competitive edge in the industry.
04
PROCESSES
The development of claims processing platform was guided by an Agile methodology that fostered continuous improvement and adaptability to our client's evolving needs.
04 / Business value
How the work improved.
01Accelerated Claims Processing: This ML-enabled SaaS platform significantly expedites claims processing, reducing the time it takes to resolve claims, and ensuring swift customer satisfaction.
02Increased Operational Productivity: The automation of claim adjustment leads to increased operational efficiency, enabling employees to focus on higher-value tasks and improving overall productivity.
03Reduced Claims Processing Cost: The platform streamlines the claims process, reducing manual intervention, which, in turn, lowers the cost associated with claims processing.
04Enhanced Customer Satisfaction: Swift and accurate claims processing enhances customer satisfaction, leading to stronger client relationships and brand loyalty.
05 / Technology & methods
Technology and delivery methods used in the work.
AngularAWSAzure
About this caseEnterprise delivery context
The story covers the operating problem, Primus responsibility, implementation approach and resulting capability.