Where AI agents go wrong: The hidden causes of CX failure
What leading teams are doing differently with AI agents (and how you can too)
Practical ways support and CX teams can use AI agents to cut costs and boost productivity, while elevating customer experience.
RegisterAI agents are rapidly becoming the front line of customer interaction. But instead of delighting customers, they often erode trust and satisfaction. In this interactive discussion, we will discuss the real, often overlooked reasons behind the growing CX failure from misaligned goals to poor orchestration, and the loss of human context in digital conversations.
Join us to learn real-world success stories of how leading teams are transforming CX with end-to-end automation and driving measurable gains in customer satisfaction.
Key Takeaways:
- Gain clarity on the root causes behind AI agent underperformance and how to realign them with customer expectations.
- Identify actionable steps to unify product, support, and customer data for more context-aware automation.
- Understand how to measure AI’s real impact on CX beyond efficiency metrics like containment or resolution rate.
- Learn practical ways to bring human empathy into AI-driven interactions to strengthen brand trust.
- Explore a framework for scaling AI agents from pilot success to sustainable, production-grade performance.
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