Extracting insights and understanding from speech
In contrast to expensive and slow large language models, our Audio Intelligence models are lightweight, purpose-driven, and fine-tuned on domain and task-specific conversational data sets. The result? Superior accuracy on specialized topics, lightning fast speed, and low inference costs that make high throughput, low latency applications viable.
Summary: The customer calls Wham to change their payment and asks if they can do it on the phone since their sub is about to renew. The agent takes down the customer's information and updates their card information, including billing address and expiration date. The call ends with the agent thanking the customer for calling.
Transcript Hi. Thank you so much for calling Wham. My name is Ali. How can I help you today? Hey. Just trying to change the payment info on the website. since my sub is about to renew. I was wondering if you could do it on the phone. Yeah. That shouldn't be a problem. Could I have your first and last name, please? Erin Shurtz, s c h e r t z. Alright. Thank you so much, Erin. Could I also have your phone number, please? 713-899 0745. Excellent. And I'm just going to verify with your security question really quick, if you don't mind. What street did you grow up on? Cypress Avenue. Okay. Excellent. Thank you so much. And I can just go ahead and update that card info for you. So first, what is the card number? 4708 Okay. 1209. Okay. 8732. Uh-huh. 7655. Great. And could I also have your expiration date as well? February 2028. Great. And could I also have your CVC on the back? 482. Okay. Thank you. And the the billing address is still the same? Yep. Okay. Great. then you're all set. Thank you so much for calling in.
Audio Intelligence features
Accurately capture the essence of conversations including relevant contextual information to streamline workflows and drive operational efficiency.
Identify sentiment as positive, neutral, or negative at a word, sentence, and transcript level for trend analysis and to drive real-time improvements to the customer experience.
Recognize and track speaker intent through the entire conversation enabling agents to make intent-based decisions and take actions that improve customer satisfaction.