Report Finds Enterprises Struggle to Achieve Measurable Outcomes from AI Customer Experience Tools

A new report from TELUS Digital and Ryan Strategic Advisory indicates that while enterprises have widely adopted artificial intelligence for customer experience (CX) operations, many organizations currently struggle to achieve optimal performance from these tools. The study highlights a significant gap between the initial deployment of AI technologies and the realization of measurable business outcomes, noting that many companies lack the necessary frameworks to refine and manage these systems effectively after implementation.

The research identifies several operational hurdles that contribute to this performance disparity. According to the findings, many enterprises prioritize the speed of AI integration over the long-term maintenance and iterative improvement of the software. The report notes that without consistent data monitoring and human oversight, these AI deployments often fail to meet internal efficiency benchmarks or customer satisfaction targets. Furthermore, the analysis suggests that organizations frequently underestimate the technical expertise required to manage complex AI ecosystems, leading to underutilized capabilities and stagnant return on investment. The study concludes by emphasizing that successful AI integration requires a shift in focus from simple deployment to ongoing optimization and strategic alignment with broader business objectives.

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Source: GO-AI-ne1

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Date: June 3, 2026

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GOAI