Conversational Banking

We help to improve the customer interactions and productivity of leading banks by implementing our conversational AI

Illustration of two cogs

30% of all customer interactions can be automated in a bank Woman using computer emojiMan using a computer emoji

Use the power of conversational AI to provide better customer service, increase the self service offer and engage with your user across channels.

  • Trusted By:
  • RaiffeisenRaiffeisen
  • UBSUBS

Our brainy AI makes your customer interaction fast and effective Robot emoji

Let Rasa’s AI handle common requests, process payments and engage with your customer on any channel.

A screenshot of the Rasa AI solving a customer's problem

Works seamlessly with your human agents Woman helping emoji

Rasa AI understands when your customers need human support and hands off to an agent right away.

Case Study: Proof of Concept

A personal finance assistant to automate customer service requests for Raiffeisen, a leading bank, with the Rasa AI platform



Situation

We were approached by RAIFFEISEN, who wanted to explore the potential of conversational AI in order to introduce a personal finance assistant and automate customer service requests for a better user experience as well as higher customer satisfaction.


Challenges

Providing an excellent user experience to automate customer service requests requires top notch conversational AI. However, current rule-based approaches can’t handle this effectively on a human intelligence level.


Solution

Using our Rasa AI platform including the NLU and Dialogue management systems, which are based on the latest deep learning methods, Rasa implemented a successful proof of concept for internal validation. The production process was structured as follows:

  • 1) Use Case Workshop: Analysed problems and potential applications with employees from 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. A voice skill was implemented to cover Swiss German Voice requests with an advanced bot personality.
  • 3) Testing: Extensive testing setup along the bot development with supervision, KPI reporting and user questionnaire.


Next Step

Evaluation of further use case developments along conversational AI strategy building.

A demo of the Rasa integration

How to work with Rasa

Leading developers and enterprises worldwide use Rasa to build the next-generation of bots and assistants.

Developers

Learn more about Rasa NLU, Rasa Core or just start building.

Enterprise

Tell us about what you want to build and we'll evaluate how we can help.