Technology Executives Review® Special Report | AI use in Customer Experience, Networks and Telecommunications

Sep 03, 2026
 

Technology Executives Review® Special Report | AI Use in Customer Experience, Networks and Telecommunications

In this Technology Executives Review® Special Report, host Alex Jarett is joined by Dave Dyson, Founder of Eclipse Telecommunications, for a focused discussion on AI use in customer experience, networks, and telecommunications.

Customer experience has moved far beyond the traditional call center. As Dave explains, what used to be called call centers or customer service centers has evolved into a much richer way of interacting with customers.

That makes AI especially relevant, but also especially risky if organizations treat it as another disconnected tool instead of part of a larger customer journey, technology strategy, and measurable business outcome.

Key Takeaways:

  • AI in customer experience should not trap customers inside automation. Dave makes the point that customers need fast, easy “emergency exits” to a human being when AI cannot solve the issue.

  • People do not want to get stuck in “AI jail.” AI should resolve the easy issues, reduce friction, and get people connected to the right human faster when human support is needed.

  • Contact centers should be one of the easiest places to measure AI ROI. Organizations can track call time, upsell and cross-sell activity, net promoter scores, customer sentiment, resolution speed, and other measurable outcomes.

  • Weak ROI in customer experience AI may be a sign that companies are buying shiny objects instead of strategy. Dave warns that many organizations are buying disconnected widgets without asking whether the tools work together or improve the customer journey.

  • The real question is not whether an AI tool is interesting or impressive. The question is whether the customer is getting a better experience and whether the customer feels better about the brand because of the technology interaction.

  • One of the most practical AI use cases is helping make every customer service representative more effective. Dave describes how AI can surface information, reduce screen switching, lower cognitive load, and help representatives respond faster and more personally.

  • AI can also improve internal help desk and employee support. For CIOs and Technology Leaders, the same approach can be applied internally to help employees get better answers faster and improve the internal customer experience.

  • Telecommunications may be one of the sectors where AI is already producing measurable ROI. Dave explains that carriers are using automation and AI to improve core networks, route traffic more effectively, strengthen security, and make networks more autonomous and self-healing.

  • AI is also helping global carriers respond to network threats in real time. Dave notes that major carriers are attacked constantly, and autonomous AI agents are increasingly being used to help secure and monitor global networks.

  • Some of the most powerful AI improvements may be invisible to end users. If networks become more reliable, voice quality improves, outages are detected sooner, and problems are fixed before customers notice them, AI is working in the background to make the experience better.

  • Telecom security will remain highly sensitive. Dave explains that the way major carriers move and protect traffic is closely guarded because of the risks involved, especially when bad actors would see enormous value in disrupting a major global network.

  • The discussion also touches on quantum risk and the possibility that bad actors may be storing encrypted traffic today in hopes of decrypting it later when more powerful quantum tools become available.


Featured Guest Analyst: Dave Dyson, Founder of Eclipse Telecommunications

Host: Alex Jarett, Founder, Technology Executives Club®

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