Arna Soft

Our Studies

Insurance Underwriting Software for Faster Rating Decisions 

Adding new clinics should help a healthcare business grow. But it often creates new operational challenges. A US-based healthcare provider experienced this firsthand. As their clinic network expanded, it became harder to maintain visibility across locations, keep processes consistent, and manage day-to-day operations efficiently. They needed an advanced healthcare solution that could support growth without forcing every clinic to work the same way.
Smart Data Infrastructure for Smarter Insurance Decisions-- Case Study - Arna Softech
Insurance Underwriting Software for Faster Rating Decisions

Client Overview

The client is a leading US-based auto insurance provider offering both vehicle owner and non-owner insurance policies. To maintain service quality and support future growth, this insurer wanted a more scalable approach to underwriting operations, premium calculation, and policy processing. They needed a comprehensive insurance underwriting software that brought risk-based pricing, real-time data validation, and third-party data integrations together into one platform.

Challenges

    • Premium calculations relied on information from multiple data sources.
  • Underwriting teams needed to validate driver, vehicle, claims, and risk information before generating quotes.
  • Manual processes made it difficult to maintain speed and accuracy at scale.
  • The client needed custom insurance software capable of handling both owner and non-owner policy types.
Technology stack

The Solution 

We designed custom underwriting automation software to digitise premium calculation processes while improving operational efficiency.

The solution brought together multiple underwriting functions within a single platform. Here’s what it did:

 

  • Automated underwriting validations
  • Calculated premiums based on validated driver, vehicle, and risk information.
  • Supported vehicle owner and non-owner insurance policy workflows.

 

We connected the platform with third-party data providers to verify and augment information in real time. This enabled underwriters to access accurate driver, vehicle, claims, and violation data without relying on manual verification processes.

The insurance underwriting software also supported dynamic re-rating capabilities. Whenever policy information changed, the platform could automatically revalidate the data and recalculate premiums based on the latest risk profile.

The solution included performance optimisation features such as response caching, which reduced unnecessary third-party API calls, improved system responsiveness, and supported high transaction volumes.

Arna Softech - Insurance Underwriting Solution - Third Party Integrations

Business Impact

The client moved from manually intensive underwriting processes to a scalable IT solution for insurance industry operations.

With rating, validation, and underwriting workflows working together in a single platform, the insurer can now process approximately 1,800 new policies every day while maintaining consistency across underwriting decisions.

Growing policy volumes putting pressure on underwriting teams?

Download the full case study to see how this insurer tackled the challenge.

In a dynamic business environment, scalability is crucial. IT services provide the flexibility to scale up or down your resources based on changing business needs. Cloud services, for instance, allow seamless expansion of storage and computational power

testimonial

Serana Belluci

Product Designer

GET THE COMPLETE CASE STUDY HERE!

You’re just a click away from seeing how we help businesses grow with smart, scalable tech. This case study is a snapshot of how Arna Softech builds software that makes an impact.

Let’s chat about your next big move.

Email us sales@arnasoftech.com or give us a call at +91 731 490 0197

Other Case Studies

Product Engineering
Adding new clinics should help a healthcare business grow. But it often creates new operational challenges. A US-based healthcare provider experienced this firsthand. As their clinic network expanded, it became harder to maintain visibility across locations, keep processes consistent, and manage day-to-day operations efficiently. They needed an advanced healthcare solution that could support growth without forcing every clinic to work the same way.
healthcare solution
clinic management system
JSON Format
Multi-Clinic Management 
No Tags
AI Engineering
A global manufacturer automated its entire RFQ flow—from unstructured email requests to structured supplier negotiations—using AI agents, n8n, Airtable, and Gmail. The solution transformed a slow, error-prone process into an AI-orchestrated workflow that boosts speed, consistency, and supplier reach.
AI Engine's
RFQ Lifecycle
JSON Format
AI Agents & N8N
AI Agent-Powered RFQs, AI Engagement, AI Engineering, AI infrastructure, AI models, AI Software Development, AI Traffic Automation, AI-Generated, AI-Powered, AI-supported, API Dashboard, Lead Capture, Powered AI, Real-Time Quoting