Why Most AI Initiatives in CX Fail: Pitfalls, Scalability, and Governance
This exclusive roundtable brings together senior CX and marketing leaders to tackle a critical challenge: How do we move from isolated AI experiments to scalable, business-driving outcomes?
AI in CX Is Stalling - Here’s Why
Location: The Skylark, New York
Organizations have invested heavily in AI for customer experience. The promise is clear: smarter interactions, faster service, and deeper personalization.
Yet most initiatives never move beyond pilots.
Not because of lack of vision - but because of execution gaps.
Disconnected systems. Fragmented data. Limited orchestration.
And above all, unclear governance slowing everything down.
This exclusive roundtable brings together senior CX and marketing leaders to tackle a critical challenge:
How do we move from isolated AI experiments to scalable, business-driving outcomes?
What This Discussion Will Unlock
- Why most AI initiatives fail to scale - and how to fix it
- How leading enterprises are connecting data across the customer journey
- Practical approaches to orchestrating AI across complex systems
- How to implement governance without slowing innovation
- What it takes to move toward agentic AI that actually executes
The Shift: From Fragmented Automation to Intelligent Orchestration
The next phase of AI in CX isn’t about more tools - it’s about making them work together.
Leading organizations are adopting a more unified model:
- Connecting context across every touchpoint
- Orchestrating intelligence across systems in real time
- Enabling governed, autonomous execution
This is how AI moves from assisting teams to actively driving outcomes.
Dinner Discussion Topics
This session is designed as an open, peer-led exchange focused on real-world challenges.
We’ll explore:
1. The Reality of AI Adoption in CX
What challenges are emerging as you deploy AI in customer service and marketing?
2. Governance, Risk & Trust
How are organizations ensuring responsible AI use while maintaining speed?
3. Beyond Automation: The Rise of Agentic AI
Are you moving toward AI that can take action—not just assist?
Examples include:
- Autonomous customer service workflows (e.g., issuing refunds)
- Multi-agent systems managing campaigns end-to-end
4. The Fragmentation Problem
Are your CX data and systems working together—or against each other?
What strategies are being explored to unify the stack?
Request Your Seat
Join a curated group of CX and marketing leaders redefining how AI delivers real business value.
Spots are limited to ensure a high-quality discussion.