Conversation is the richest, abundantly available source of insight businesses have, and it is designed to be understood easily by humans. But are your contact center practices able to grow with a customer’s experience? Customer service technology has been largely the same for decades. The means by which customer service agents are measured, calls are analyzed, and data is extracted to identify common pain points and act on potential issues were heavily reliant on human observation, which is both inconsistent and, at times, inaccurate. Traditional call quality monitoring lacks the ability to pull information from a large number of sources. It lacks automation to be performed at scale across all calls. Most importantly, it lacks the ability to immediately deliver actionable insights that can be used to improve real-time. With the help of AI and voice data, conversations can be broken down and analyzed both for their words and phrases and, more significantly, for their tone and emotions in the voice itself, helping businesses make changes to calibrate these conversations and ultimately improve outcomes. Join Rana Gujral, CEO at Behavioral Signals to learn the best ways to apply automation most efficiently.

In this webinar, you will learn:
– How AI can transform your contact center with real actionable insights.

– How programming AI to understand the subtle nuances in conversations, i.e., intonation cues, can yield insights like customers’ behaviors and desires and improve outcomes in a contact center

– How Behavioral AI can have an impact on the quality of customer conversations with a measurable increase of 20% in actual outcomes.

– Get deeper insights from a real-world case study involving a European Financial Institution and how behavioral AI managed to increase revenues by 20% while lowering contact center costs by 7.6%.

Get a free recording, here