About this episode

Rana Gujral discusses how to make AI's value clear to various stakeholders in customer service.

Today, I'm talking to Rana Gujral, CEO of Behavioral Signals, which provides AI that interprets human behavioral cues in speech to help route call center conversations more effectively, improve customer service performance, and detect voice-based fraud. Their moat is a decade of voice data tied to real business outcomes, not the model itself, as Rana explains. During our conversation, Rana shares his practical framework for making the value of their AI obvious to the various humans in the loop that the product needs to “touch,” and he argues that a one size [UI] doesn’t fit all. In Rana’s product, they discovered that customer service reps need ambient assistance, supervisors need aggregate patterns, compliance teams need audit trails, and executives need outcome metrics tied to business results. He also explains why having measurable ROI isn't enough. Early renewals for Behavioral Signals suffered because the people signing the checks couldn't actually see the product's impact. Rana's solution? “Ship the meter” alongside the intelligence. If your AI works quietly in the background, you still need reporting UIs that clearly communicate the product’s value. For founders struggling…

People in this episode

Host: Brian T. O’Neill

Guest: Rana Gujral

Topics covered

• AI
• customer service
• behavioral cues
• reporting UIs
• evaluation process

Keywords

• AI
• customer service
• voice data
• ROI
• evaluation journey

Mentioned in this episode

Organizations: Behavioral Signals

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