Customer service is hands down the first killer app of generative AI for businesses. The reasons are simple: the costs of existing solutions are so high, the satisfaction so low and the margin for ROI so wide. But trusting your interactions with customers to hallucination-prone LLMs can be daunting.
Enter Sierra. Co-founder Clay Bavor walks us through the sophisticated engineering challenges his team solved along the way to delivering AI agents for all aspects of the customer experience that are delightful, safe and reliable—and being deployed widely by Sierra’s customers. The Company’s AgentOS enables businesses to create branded AI agents to interact with customers, follow nuanced policies and even handle customer retention and upsell. Clay describes how companies can capture their brand voice, values and internal processes to create AI agents that truly represent the business.
Hosted by: Ravi Gupta and Pat Grady, Sequoia Capital
Mentioned in this episode:
00:00:00 Introduction
00:01:21 Clay’s background
00:03:20 Google before the ChatGPT moment
00:07:31 What is Sierra?
00:12:03 What’s possible now that wasn’t possible 18 months ago?
00:17:11 AgentOS
00:23:45 The solution to many problems with AI is more AI
00:28:37 𝛕-bench
00:33:19 Engineering task vs research task
00:37:27 What tasks can you trust an agent with now?
00:43:21 What metrics will move?
00:46:22 The reality of deploying AI to customers today
00:53:33 The experience manager
01:03:54 Outcome-based pricing
01:05:55 Lightning Round
