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Enterprise LLMs and AI in Customer Support

Episode 12 with Yellow.ai's Raghu Ravinutala

Hello readers!

On this week’s podcast, Ryan and Neil speak with Raghu Ravinutala, the CEO and Co-Founder of Yellow.ai, about how any high-touch business can improve customer satisfaction and boost ROI by adding AI to their customer experience (CX) and what enterprises need to know to start optimizing their business with LLMs!

Why You Won’t Want to Miss This

  1. Learn how AI and chatbots have significantly reduced the mean time for resolving customer queries. (14:37)

  2. Understand the role of AI in improving customer satisfaction rates. (15:04)

  3. Learn about real-time decision-making capabilities of AI in customer service, like offering discounts or waiving fees based on daily budgets. (15:53)

  4. Get a deep dive into how AI-driven customer support can result in direct ROI impact. (03:47)

  5. Learn about key performance metrics that companies should focus on. (13:44)

Our Favorite Moments

“A human would take almost 20 to 30 minutes to go to multiple systems and resolve that query... whereas software can get the resolution within a few minutes.”

“Now the AI agents can take in the budgets for the day and make real-time decisions whether they need to give a discount, they need to waive off, or they need to hold on to the baggage fee.”

"Generative AI has taken a leap forward... it completely reduced the training time, improved the accuracy, and improved the deflection rates."

How Can AI Improve the Customer Experience?

Meet Raghu Ravinutala

Raghu Ravinutala is the CEO and Co-Founder of Yellow.ai. Since its inception, Raghu and his team have successfully expanded Yellow.ai’s presence across North America, Asia-Pacific, Europe, the Middle East, Africa, and Latin America, with 1100+ customers in 85+ countries.

Learn More About Yellow.ai

Headquartered in San Mateo, Yellow.ai is a global leader in Conversational AI, delivering autonomous experiences for customers and employees to accelerate enterprise growth. Powered by Dynamic AI agents, the company aims to provide human-like interactions that boost customer satisfaction and increase employee engagement at scale through its no-code platform.