Bringing Google Dialogflow to the Enterprise


Google Partner Dialogflow

Google Dialogflow is a leading conversational AI platform that can be used to build engaging virtual agents over any channel, including IVR. Google Dialogflow incorporates Google’s machine learning expertise and products such as Google Cloud Speech-to-Text. Because Google Dialogflow is a Google service that runs on Google Cloud Platform, it lets you scale to hundreds of millions of users.

Why work with Nu Echo on your Google Dialogflow project?

18 years of conversational expertise

Conversational user experience design is about how to ask questions to get predictable responses; how to handle user digressions, corrections, changes of mind; how to manage NLU confidence scores; how to recover from an ASR or NLU failure; how to lead the conversation to maximize success while giving users a sense of control. It is both art and science. But it’s certainly not the kind of expertise that can be improvised. It’s built on years of experience developing best practices and learning what works and what doesn’t.

We were doing conversational user experience design long before people even knew it existed. We have built our conversational practice over the past 17 years so that you don’t have to repeat the mistakes of others.

Proven engineering practices

No matter what development tools you use, an intelligent virtual agent is a complex application that needs to be developed with solid engineering practices that enable you to frequently release new versions that are always bug-free and perform flawlessly.

Speech recognition and NLU optimization expertise: Because accuracy matters

No matter how good the conversational design, if speech recognition and NLU accuracy are not there, the entire virtual agent project will end up in failure. For nearly 20 years, we have been refining our speech recognition and NLU optimization methodologies and tools to ensure that our virtual agents deliver the best possible success rate and user experience. We also constantly benchmark speech recognition and NLU technologies to see how they compare to one another and understand how to achieve the best possible accuracy.