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Talkdesk: 98% use AI in CX, only 15% resolve end to end

Talkdesk: 98% use AI in CX, only 15% resolve end to end

3 Key Points

  1. What happened

    Talkdesk's survey of 252 director-level-and-above leaders found 98% use some form of AI in customer experience, but only 15% pair agentic AI with the orchestration to resolve a customer need end to end.

  2. Why it matters

    Adoption is no longer a differentiator, and execution is the new battleground, per Talkdesk's benchmark.

  3. What to watch

    The outcome hinges on whether IT fixes fragmented data and knowledge before adding more agents. Only 2% of organizations report fully unified data.

WHO IT HITSIT leaders and CX operations teams at midmarket and enterprise organizations are the ones who must connect systems, ground knowledge, and govern autonomy, since the survey's top blockers are compliance, security, and disconnected systems rather than AI model limitations.

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FAQ
What is agentic AI, as defined in the survey?
The article defines agentic AI as systems that take a goal, reason through it, and act across systems. Only 24% of organizations use this type of AI.
What separates CXA Leaders from Agentic Scalers?
CXA Leaders have both agentic and cross-system autonomous execution capabilities, while Scalers have only one of the two. CXA Leaders are roughly four times more likely to report major CSAT or NPS gains, 22% versus 5%.
What are the top barriers to automating customer experience?
Respondents cited compliance (50%), security (48%), disconnected systems (45%), legacy infrastructure (44%), and insufficient skills (41%), with none of the top barriers stemming from AI models.
SiliconANGLE AIRead Original Article

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