Google has beta launched a new version of it’s Dialogflow natural language understanding (NLU) platform: Dialogflow CX. The Dialogflow version we all know and love is now called Dialogflow ES.
The new Dialogflow Customer Experience (CX) platform is aimed at building advanced artificial intelligence agents for enterprise-level projects at a larger and more complex scale than the standard variety.
“Dialogflow CX provides a new way of designing agents, taking a state machine approach to agent design,” Google explained in the documentation for CX. “This gives you clear and explicit control over a conversation, a better end-user experience, and a better development workflow.”

Stand Out Features

The stand out feature for us is the that the Interactive flow visualizations allow conversation builders to quickly see, understand, and edit their work so creating more complex multi turn transactional conversational experiences will be more straightforward.
A state-based data model allows developers to reuse intents, intuitively define transitions, and handle supplemental questions.
In a single virtual agent, separate flows let multiple teams work simultaneously.
Plus, there seems to be versioning and environment at the flow level with other features such as the ability to run AB experiments and split traffic.
We’ve started to look at the new Dialogflow CX console and things look really interesting.
Dialogflow CX Console
A full break-down is beyond the scope of this post; we will be getting back to you with a more detailed feature analysis in future.

You can read more about Dialogflow CX here

Introductory Video can be see here

Beta Limitations

Its worth keep in mind Dialogflow CX is in beta, so some important features are not implemented yet. The following features found in Dialogflow ES are not implemented for Dialogflow CX yet:

Any language other than English (en)
Integrations
Knowledge connectors
System entity extension
History
Training data import

First Impressions

Our first impressions are that this will be a major tool for creating complex conversational enquiry heavy chatbots without having to juggle context. So particularly IVR chatbots or text chatbots which need to serve more complex roles.
It’s also important to mention that this is a beta release, so some important features are not implemented yet. The following features found in Dialogflow ES are not implemented for Dialogflow CX:

As Google technology partners we are really excited about this new version of Dialogflow; if you want to learn more about Dialogflow CX and how an advanced chatbot can help your company please  contact us to discuss further.

The Rapid Response Virtual Agent program includes open source templates for companies to add coronavirus content to their own chatbots.

Artificial intelligence and machine learning are continuing to take a front-row seat in fighting COVID-19, with Google Cloud launching an AI chatbot on Wednesday. The chatbot, which it calls the Rapid Response Virtual Agent program, will provide information to battle the COVID-19 pandemic, as announced in a Google blog.

The program will Google Cloud customers to respond more quickly to questions from their own customers about the coronavirus. It’s designed for organizations who need to be able to provide information related to the COVID-19 pandemic to their customers, such as government agencies, healthcare and public health organizations, as well as travel, financial services and retail industries.

Google also offers Contact Center AI for 24/7 self-service support on COVID-19 questions via a chatbot or over the phone. Google also allows for businesses to add COVID-19 content to their own virtual agents with the ability to integrate open-source templates from organizations that have already launched similar initiatives. For instance, Verily partnered with Google Cloud to launch the Pathfinder virtual agent template for health systems and hospitals. It enables customers to create chat or voice bots that answer questions about COVID-19 symptoms and provide guidance from public health authorities such as the Centers for Disease Control and Prevention and World Health Organization (WHO), according to the Google blog.

The Contact Center AI’s Rapid Response Virtual Agent program is available in any of the 23 languages supported by Dialogflow.

Google has provided a template to rapidly create a Dialogflow agent: You can find the template here. There is also documentation on how to build and deploy a virtual agent, whether voice or chat.

We’ve been looking in more detail at this template and created our own chatbot. This is a work in progress and will be something which we are updating and improving daily. You can interact with this chatbot in the bottom right of this page.