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This article identifies a critical bottleneck in enterprise AI implementation where widespread tool adoption fails to translate into measurable outcomes due to poor orchestration of agents, data, and workflows. The core issue is not acquiring generative or scripted AI capabilities, but rather integrating these elements end-to-end to resolve customer needs autonomously. For industry leaders, the strategic shift required is moving beyond isolated pilots to building cohesive systems that deliver quantifiable business value.
AI in customer experience has an orchestration problem, not an adoption problem
Every information technology leader I talk to has an artificial intelligence story about customer experience. Almost none has an outcome story. That gap is now measurable. Talkdesk Inc., in partnership with NewtonX, surveyed 252 director-level-and-above leaders in customer experience, IT, operations and AI strategy at midmarket and enterprise organizations across four regions. The resulting benchmark, […] The post AI in customer experience has an orchestration problem, not an adoption problem appeared first on SiliconANGLE.
Every information technology leader I talk to has an artificial intelligence story about customer experience. Almost none has an outcome story. That gap is now measurable. Talkdesk Inc., in partnership with NewtonX, surveyed 252 director-level-and-above leaders in customer experience, IT, operations and AI strategy at midmarket and enterprise organizations across four regions. The resulting benchmark, The State of Agentic Automation in CX, concludes that IT should reframe how it plans its next CX investment: Adoption is no longer a differentiator, and execution is the new battleground. The headline numbers make the point. Ninety-eight percent of organizations use some form of AI in customer experience. Generative AI is at 74%, and scripted AI is at 65%. But only 24% use agentic AI, which refers to systems that take a goal, reason through it, and act across…
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