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Global Insurance Leader Transforms Claims Intake with AI

Global Insurance Leader Transforms Claims Intake with AI

Banking & Financial Services

+155,000 employees

Europe

See how a global insurance provider uses AI-powered Voice to streamline FNOL, reduce manual work, and improve claims-handler productivity.

See how a global insurance provider uses AI-powered Voice to streamline FNOL, reduce manual work, and improve claims-handler productivity.

70% reduction in manual FNOL intake work 
50% reduction in time required to create a claims-ready FNOL case 
30% improvement in claims-handler productivity for supported FNOL journeys 

Overview

A leading European insurance provider partnered with Mplus to transform its First Notice of Loss (FNOL) process for Motor and Home Insurance through AI-powered Voice. 

Reporting a loss is a critical moment in the insurance customer experience. Customers want to report what happened quickly, while claims teams need accurate and complete information before they can begin processing a case. 

Mplus implemented Graia AI Voice Assistant that guides customers through the FNOL process, collects and validates the required information, creates a structured initial claim report, and transfers the case through the CRM to the responsible employee. 

The result is a faster, more consistent claims intake process that reduces administrative work and gives claims professionals more time to focus on assessment and resolution. 

Challenges

FNOL traditionally required employees to handle the full information-gathering process before a claim could move forward. 

Customers reporting a Motor or Home Insurance loss needed to wait for an available employee, answer a series of structured questions, and provide the information required to create the initial case. 

At the same time, claim volumes can increase suddenly following events such as storms, flooding, hail or other incidents, making it difficult to scale manual intake capacity quickly. 

Key challenges included:

  • Dependence on employee availability when customers needed to report a loss

  • Customer waiting and queue times during periods of high demand 

  • Repetitive information collection during every FNOL interaction 

  • Manual data entry and initial report creation 

  • Incomplete information requiring additional customer contact 

  • Administrative work delaying the start of claims handling 

  • Difficulty scaling intake capacity during sudden claim surges 

  • Ensuring consistent information capture across supported claims 

Solution

The insurance provider partnered with Mplus to deploy a Graia AI Voice Assistant for Motor and Home Insurance FNOL.

The solution automates the structured information-gathering stage while keeping claims professionals responsible for assessment, validation, decision-making and resolution.

The deployment included:

  • AI-powered Voice Assistant acting as the first point of contact for FNOL

  • Guided conversations tailored to Motor and Home Insurance claims

  • Automated collection of required customer, policy and incident information

  • AI-powered validation to identify missing or unclear information

  • Automatic structuring and consolidation of information collected during the call

  • Automated creation of the initial FNOL report

  • CRM integration and structured case transfer to the responsible employee

  • Human handover for processes requiring insurance expertise or judgment

  • Standardized information capture across supported FNOL journeys

  • Scalable AI intake capacity for periods of increased claim volumes

Impact

The AI-powered FNOL solution changed how the insurer handles the first stage of the claims process. 

Instead of spending significant time asking standard questions, entering information and creating an initial report, employees receive a structured case through the CRM with the key information already captured. 

Key outcomes included: 

  • 70% reduction in manual FNOL intake work 

  • 50% reduction in time required to create a claims-ready FNOL case 

  • 30% improvement in claims-handler productivity for supported FNOL journeys 

  • Faster transition from loss notification to claims handling 

  • More consistent collection of required claim information 

  • Reduced administrative work for claims employees 

  • Greater intake capacity during periods of increased claim volumes 

  • A more straightforward reporting experience for customers at a critical moment 

Why Mplus?

Why Mplus?

Mplus helped the insurance provider move FNOL from a manual information-collection process to an AI-powered conversational workflow. 

Rather than replacing claims professionals, Graia takes care of the repetitive work that happens before claims assessment begins. The AI collects the necessary information, validates the conversation, creates the initial case and passes the structured information to the responsible employee. 

This allows insurance professionals to spend less time on administrative intake and more time on the work that requires their expertise. 

The result is a faster, more consistent and more scalable claims intake process, with AI supporting customers from their first call while keeping human expertise at the center of claims handling. 

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