Episode 254: What if the future of AI in customer experience is built not by giant platforms but by small, reusable, open source AI agents?

Gurdeep Pall, President of AI Strategy at Qualtrics, believes open, modular AI agents will outmaneuver big tech's locked-down systems. In this conversation from the X4 Summit, Gurdeep argues that "experience agents"—task-specific bots that can plug into any stack—will give companies more control, better performance, and real freedom.

Closed AI platforms promise convenience, but they trap businesses in rigid walled gardens. Gurdeep argues that modular architectures unlock something better: flexibility, reuse, and evolution. "Break down the agents to very specific functionality," he says. "And those agents can be invoked by many different agents for different types of tasks."

This isn't just a tech choice. It's a business and philosophical stance. Qualtrics is partnering with LangChain and releasing open connectors to build an ecosystem of interoperable agents. The goal? Let companies mix, match, and scale customer-facing systems without depending on any one vendor.

"This is one semantic level up," he says, comparing today's agentic architectures to the launch of the web and mobile eras. "What agents are going to do for user experience—taking our digital game to the next level—is very exciting."

Guest: Gurdeep Pall, President of AI Strategy, Qualtrics

Host: Rob Markey, Partner, Bain & Company

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Time-Stamped Topics:

• (00:01) Why Qualtrics is going all-in on open agentic AI
• (00:04) An overview of the Qualtrics and LangChain partnership
• (00:06) The modular architecture of "experience agents"
• (00:08) Why one task might require seven agents
• (00:09) How specialization allows reuse and scale
• (00:10) Rejecting the walled garden model
• (00:11) Making open systems friction-free
• (00:12) A real-time use case from the X4 stage
• (00:14) Plug and play simplicity for complex integrations
• (00:15) Why this is a new digital paradigm

Time-Stamped Quotes:

• [7:00] "It's about how you break up the task. Like, when you call the human, the human didn't sit there and not do anything and the password got reset. The human went to a piece of software and they went and worked on it. So, what we are talking about here is the combination of software and the human, now organized most efficiently."
• [8:00] " If you're able to break down the agents to very specific functionality, then those agents can be invoked by many different agents for different types of tasks."
• [10:00] " There is one example of a very small, open system called the Internet, which somehow, through open standards, became one of the most incredible innovations of human beings ever. So what we are trying to do is to take a stand and say, 'We believe in open systems and we want to let our customers know that this is a choice.'"