Iterate faster, together

Unlock enterprise-grade features and support, made for fast-moving product teams

TRUSTED AT SCALE BY
ErgoErgo
RaiffeisenRaiffeisen
UBSUBS
HelvetiaHelvetia
Yellow PagesYellow Pages
FriendsuranceFriendsurance

Train Together

Use the Rasa Platform interface to train the Rasa Stack as a team. Work together to get the best possible performance and see who added training data at which point in time.

Data Sync

Keep your models updated with the latest training data, which is automatically synchronised between the training UI and your backend.

Automated Testing

You wouldn't ship code without tests, why should machine learning be any different? Monitor the performance of your system and run every new model through a number of test cases.

Deploy Anywhere

Deploy the Rasa Stack and Platform on-premise or in your private cloud.

Case Study

Attracting millennial customers with an automated personal finance assistant on Facebook Messenger



Situation

Raiffeisen, a leading Swiss retail bank, wanted to explore how to appeal to a younger audience. After the success of newcomer banks like N26 and personal finance bots like Cleo, traditional banks face fierce competition and have to improve their customer experience.


Challenges

Raiffeisen has high quality human customer service operations and cares deeply about data privacy. In addition, most customer interactions are more complex than just a simple question and answer. They require multi-turn dialogue.


Solution

Using the Rasa Platform, Raiffeisen was able to develop a successful proof of concept that was able to handle longer dialogues and could be deployed on-premise. Their team followed the following process:

  1. Data Analysis: Evaluating problems and potential applications with respective departments.

  2. Development: Developed and trained five impactful skills like the request of the account balance - deployed for an internal test on FB Messenger. In addition to text, users can also use voice commands.

  3. User Testing: Extensive testing setup, incl. KPI reporting and user questionnaire.

Next Step

Further development of backend integrations and evaluation of production deployments.

A demo of the Rasa integration

Start iterating faster with your team!