Easy-to-use platform even for non-techies
Understand what your customers say in any language
Use built-in conversational modules or upload your own
Integrate with any CRMs, ERPs, RPA, and more
Enhance customer interactions with AI on the frontline
Connect customers to the right agent on the first try
Give your agents the confidence to solve complex requests
Boost your customers’ experience and agents’ efficiency
Improve customer satisfaction with detailed insights
Engage with your customers on the platform of their choice
Drive appropriate actions with intelligent processes
Integrate easily with existing enterprise infrastructure
Increase operational efficiency and reduce agent attrition
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An in-depth guide into the trusted use of AI in customer service automation
Find out everything you need to know about establishing "Explainable AI" based on the AIC4 criteria catalogue.
Human communication is more than an exchange of data. It includes the expression of feelings, well beyond simple semantics. This power to connect with others through emotions is deeply rooted in our language instinct. Most people, even when they know they are interacting with a Conversational AI, will express feelings almost as if they were facing a human counterpart. The more natural an AI-powered conversation flows, the more likely it will be that emotions become an essential aspect of the interaction – on both positive and negative ends of the spectrum.
A bot that "sticks to the script", responding to a distressed customer with pre-defined answers, can easily be perceived as ignorant and inconsiderate.
A Virtual Agent with the capabilities to detect the emotional tone behind the words can provide more human-like responses. It can steer the conversation in the right direction, let a human agent takeover, or even capitalize on customer happiness. The result: conversational experiences that feel more natural than ever.
Watch the video below to see how you can leverage the power of sentiment analysis with Cognigy.AI to create a natural and engaging customer experience.
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