AI-Powered first notice of loss (FNOL) automation

  • Improved operational efficiency and drive faster claims settlement with up to 60%+ reduction in customer cycle time.

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The challenge

Identifying the problem

Insurers face significant challenges in the traditional First Notice of Loss (FNOL) process, which is often manual, labor-intensive, and prone to human error. Sifting through unstructured claim data, classifying incidents, and initiating workflows can strain resources and delay response times. Our AI-powered FNOL automation solution addresses these pain points, streamlining the entire process by intelligently extracting key details, categorising claims, and triggering seamless workflows.

 

Featured highlights​

Empower your business with intelligent AI solutions​

Discover how our AI-driven tools can streamline your operations, unlock new efficiencies, and propel your business towards unprecedented growth.

Automated data extraction

Intelligently extracts relevant details from unstructured reports.

Intelligent claim classification

Categorise each claim, enabling efficient workflow initiation.

Improved employee experience

Reduction in time spent manually collecting basic claim information.

Faster claim settlement

Accelerates the time to settle valid claims, enhancing the customer experience.

Discover how our generative AI solution can use various sources of data to understand the relationships and validate against policies.

The process

How it works

The modular and scalable architecture of our solution ensures seamless integration with your existing claims management systems, while also providing the flexibility to adapt to evolving FNOL requirements. With this transformative technology, you can unlock new levels of efficiency, improve claims processing, and deliver exceptional service to your policyholders.

01

AI-Powered FNOL automation solution

You begin by uploading the document you want to analyse into our system.

02

Intelligent data analysis and extraction

Our system employs sophisticated natural language understanding and machine learning algorithms to thoroughly examine the content of the document.

03

Policy validation and eligibility determination

During the analysis, the system extracts key details such as names, dates, and other relevant information essential to your query.

04

Claim validation and workflow acceleration

Once the document has been processed, you have the opportunity to formulate questions or prompts based on the content.

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