Elevate customer experience while reducing costs, with AI assistants that work for any industry

Rasa modernizes customer contact centers with state-of-the-art conversational AI bots.

Give your customers the always available, high touch support they want.

Advanced AI chatbots can keep up with customers’ requests, even when they go off script. Provide round the clock support with AI chatbot support agents capable of handling multi-turn conversations.

Technical Support Accounts and Billing Conversational Search Travel Concierge Front Desk

Deflect contacts by providing automated first-line technical support.

Troubleshoot internet, cable, or phone connections
Set up a new device
Request a replacement device
Install software

Integrate with CRMs and other backend systems

Connect with existing services and fetch data from any internal or external API using custom actions.

Customizable NLU

Easily integrate custom components like sentiment analysis with Rasa’s modular NLU pipeline. Power text or voice-based interfaces.

Seamlessly hand off customers to human agents

Smoothly transfer to an available agent when customer requests go outside of an AI chatbot’s domain.

Case Study

Create a new sales channel through an AI assistant built with Rasa

The Challenge

ERGO, a leading European insurance company, wanted to expand their customer service operations to provide 24/7 coverage - all while reducing costs.

Basic chatbots and IVR systems have been rejected by users for being frustrating and unhelpful. Current market solutions are limited to basic, FAQ-based bots that are unable to handle complex requests and have no connection to back-end systems. Given ERGO’s award-winning chat agents and concerns about data security, none of these solutions worked for them.

The Solution

ERGO deployed Rasa X, laying the framework to automate over 30% of customer requests before continuing to full automation. The identification of skills was the result of an extensive analysis of thousands of real customer service conversations. A 12-week training phase with agents further improved the accuracy of the system. The AI immediately suggests suitable answers, dramatically reducing response time and boosting productivity and resource availability.

Next Step

The deployment convinced top management to invest in making the AI assistant fully autonomous for selected use cases. In addition, the company wants to deeply integrate the assistant into their live chat system.