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 your own 24/7 personal insurance assistant, tightly integrated in your backend systems, and allow 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

24% conversion rate for selling insurance policies by deploying a text message-based conversational AI


Helvetia, a leading Swiss insurance company, wanted to use conversational AI to reduce their customer acquisition costs as human agents are very expensive. Especially, for so-called “low value” policies, the costs of acquiring a new policy can exceed the insurance premium.


Cost savings should not come with a poor customer experience. That’s why Helvetia was looking for a better way to handle complex, multi-turn dialogues and engage users proactively. In addition, the Swiss insurance industry has very high standards towards data privacy.


Helvetia successfully implemented the Rasa Platform and the go-live deployment showed a very high conversion rate of 24% who bought a new insurance policy via text message. The production process was structured as follows:

  1. Concept & Design: Identifying the best channel and designing the most efficient conversational flow in a cross-functional team.

  2. Development: Implementation of the Rasa Platform by a system integrator.

  3. Go Live: Rollout of conversational AI on text message over 4 weeks.

Next Steps

Extension to a wider audience. These initiatives have C-Level buy-in and allow Helvetia to sustain a competitive advantage in the future.

A demo of the Rasa integration

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