Say goodbye to insurance portals and apps that your customers don't use

Start having automated and personal 1:1 conversations with your customers and allow them to manage their policies in a simple way

Build and train a 24/7 personal insurance assistant

Tightly integrated in your backend systems, allowing your customers to...

Rasa is built to delight your customers and work in the IT landscape of a large insurance company

Let your customers reach you when they have time

Your customers are individuals with their own schedule. Allow them to manage their insurances any time they want with a 24/7 conversational assistant.

Handle complex conversations

Conversations between humans are rarely one question and one answer. Rasa's advanced dialogue management is based on machine learning and allows for smarter conversations.

Integrates into your workflow

Rasa seamlessly integrates with your existing systems, like your CRM.

Maximum data privacy and security

Deploy Rasa on-prem or on your private cloud and keep your customer's data secure.

Case Study

End-to-end automation and cost savings for a claims process with Rasa Platform and Robotic Process Automation (RPA)



Situation

Helvetia, a leading Swiss insurance company, is dedicated to superior customer experience. However, claims management still involves a lot of manual work in customer service and the back office, resulting in high costs and long waiting times for their customers. That’s why Helvetia decided to introduce an automated, conversational agent.


Challenges

Claims management is very complex because of the underlying business processes. Therefore, multi-turn dialogues are necessary that are able to fully integrate into backend systems or work in combination with RPA. For data privacy reasons, an on-premise hosting was required.


Solution

Helvetia was able to solve those challenges with Rasa Platform and introduced a messaging bot that automates the claims management process for bike thefts, including authentication and payments using RPA. Important milestones in the development were:


  1. Data analysis from claims department

  2. Design of conversational flow including user authentication and anti fraud systems

  3. Integration into CRM and payment systems using RPA

  4. User testing and training data generation with real customers

Next Steps

After this successful implementation, further roll out to more use cases are planned.

A demo of the Rasa integration

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