Automating Car Insurance Claims

Insurance brokers can file claims faster with less human intervention thanks to chatbot technology

Chatbots are most often used as a way to boost sales or improve customer support. However, this use case proves they can be a key component in automation as well. Chatlayer’s client needed a way to increase the amount of claims handled without the input of a human agent. A conversational agent was installed on the brokers’ workstations, helping them fill in missing fields in a claim. Before the chatbot, this used to be a time consuming process. Now, we have efficiency gains for both Chatlayer’s client and their clients.

Deep integration with the client's environment

In order to achieve the automation targets set by our client, Chatlayer’s partner Faktion dived into the systems of our client in order to find the best way to integrate. The Chatlayer platform is being enriched with data coming straight from the broker, and is only passed on in the flow once all required data is completed.

Chatlayer supports their client in ensuring that 60% of all claims go straight through processing, without requiring intervention by a human agent.

Multi-language

Managing conversations in both Dutch and French

For managing hundreds of thousands of expressions, and thousands of flows in both Dutch and French, a scalable and user-friendly management interface was required.

Car Claim Automation

Exceeding Straight Through Processing Targets

  • Multiple flows
  • Deep integration
  • Multi-language
  • Release environments

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Telenet Mr. More

A national Cable Provider increased media consumption using a Web-based Chatbot Our certified Integration Partner, TBWA, chose Chatlayer to build

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Building Big Chatbots

We want to share 10 lessons with you that we have learned from our experience with large and complex chatbots for market leaders across several industries (insurance, banking, telco, …).

Bot building timeline

Technological trends itself are no guarantee to success. You also need to find the right use case.
 
Based on user-centric approach, different criteria and questions in our chatbot canvas, we are able to find the best objective of your virtual agent and to define some key performance indicators on how to measure ROI.

Download our chatbot canvas

We define the different profiles and teams, collaborating on the project. The different tasks and milestones on our bot building timeline can then be assigned to those teams.


The timeline clearly shows our objectives for each step in the process.

Choosing the right AI bot platform -

7 things to consider.

This whitepaper outlines the things to consider to choose the right AI botplatform for your organization. To help you on your way, it includes a checklist for the selection process in your organization.

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