Get a Demo of Rasa Enterprise 

Find out how conversational AI can make a difference in your business. This on-demand demo is led by engineers from Rasa. During the session, we'll walk through platform capabilities and solutions to some of the most common challenges faced by enterprises building business-critical AI assistants in industries like financial services, healthcare, insurance, telecommunications, retail, and more.

Evaluate if Rasa is right for your company

The Rasa demo includes a concrete process for how to best evaluate if Rasa is right for your enterprise. Common paths companies take to choosing Rasa include:

  • Companies that already have a bot but need a better bot.
  • Companies that require better security, data privacy, and HIPAA compliance.
  • Companies whose developers prefer Rasa because of our open source core, highly modular architecture, multiple options for deployment, and best-in-class research.

Who should attend the Rasa demo?

The Rasa demo will be geared toward a technical audience, particularly companies and teams who:

  • Operate in an enterprise IT landscape
  • Want to fully control training data and integration capabilities
  • Require assistants that can hold meaningful, multi-step conversations with users and learn interactively from user conversations
  • Build custom AI assistants in house using the best machine learning libraries
  • Set their sights on leading digital transformation in their industry

Solutions we’ll cover in the Rasa Enterprise demo:

Our approach

In this Rasa demo you’ll learn about our approach to building high performing, scalable AI assistants with advanced NLU and dialogue management. Our mission is to develop the standard infrastructure layer for conversational AI, allowing everyone to build great assistants. Because Rasa is an open source framework, organizations have the flexibility to build custom solutions that work with their  specific use case and business logic. 

Conversation Driven Development

Conversation-driven development (CDD) is the process of listening to your users and using those insights to improve your AI assistant. In this demo we’ll discuss the 6 key actions that make up the process of CDD and how your team can start implementing conversation-driven development to build resilient AI assistants that really help your users.

At Rasa, conversation-driven development (CDD) provides a framework to make improving AI assistants an intuitive process. In this Rasa demo, we’ll walk through a small workflow using our example assistant for consumer banking. We’ll show our process for improving NLU based on real conversations, and we’ll go over some best practices for building and training your AI assistant. We’ll show how you can use Rasa X to gather real conversations for training data, annotate and correct mistakes to improve your model, and we’ll highlight best practices for how to handle unexpected input gracefully. Finally we’ll demo how Rasa makes it simple for you to promote your AI assistant to production with small changes on a regular basis in order to quickly improve your bot and test it.

Why Rasa Enterprise

Rasa meets the demands of the enterprise IT landscape with features like single sign-on (SSO), role-based access control, multiple deployment environments, dedicated customer success resources, and services agreements for implementation, deployment, migration, training, and project support. Rasa Enterprise customers benefit from access to the latest conversational AI research, full transparency and insight into how the AI assistant works, and extensive customization options through integrations and  multi-channel support. Rasa offers flexible pricing plans, from open source to enterprise subscriptions.

Control your data

Rasa gives you full control over company and employee data privacy. Build HIPAA-compliant AI assistants and keep your sensitive customer data secure with on-prem or private cloud deployment. No user messages are sent to Rasa, ever. 

Integrate and customize

Straight out-of-the-box software seems easy, but a flexible architecture is necessary for great conversational AI. You can customize Rasa to fit the needs of your organization and connect Rasa to APIs, RPA, or knowledge bases. Rasa supports custom channel integrations and connects with Slack, Cisco Webex, Facebook Messenger, Microsoft Teams, voice frameworks, and many more

Automate tests and set up a CI/CD pipeline

Run tests and incorporate testing into your CI/CD pipeline with Rasa. Annotate user messages with Rasa X and turn them into real-world training data. Quickly sift through conversations and uncover insights with a purpose-built toolset for reviewing and filtering conversations

Want to learn more? Check out the on-demand  Rasa Enterprise demo from the Rasa Customer Success Engineering team.