Ahead of CCW Nashville, CX Today explored what to expect from the event, including the growing focus on AI, CX and human oversight. Were those predictions right? Read on to find out.
CCW Nashville 2026 put artificial intelligence at the center of the contact center conversation, as expected. Yet the most valuable discussions did not focus on how quickly organizations can deploy AI. They focused on whether customers trust it, whether leaders can understand its impact, and whether frontline teams have the support to make it work.
Across panels, interviews, and conversations on the expo floor, one message came through clearly: AI can expand capacity, but it cannot compensate for fragmented journeys, weak customer insight, or an employee experience that leaves agents overwhelmed. The expo floor was open throughout the event, creating plenty of opportunities to speak with vendors and see new technology developments firsthand.
TL;DR
CCW Nashville’s core tension was the gap between widespread AI investment and uneven customer trust.
CMP findings showed customers still face familiar friction, including long wait times and repeated information requests.
Leaders increasingly see observability as a way to turn customer interaction data into action across CX, product, marketing, and revenue teams.
Sanas’ Supervised AI launch reflected a growing focus on human oversight, transparency, and continuous customer conversations.
Why Is AI Investment Not Yet Closing Longstanding CX Gaps?
AI investment has accelerated, but many customer frustrations remain unchanged. Audrey Steeves, Senior Content Analyst at Customer Management Practice (CMP), said CCW Nashville repeatedly returned to the gap between what customers expect and where organizations are investing.
Customers increasingly expect personalized, proactive, and predictive experiences. However, long hold times, repeat contacts, and the need to repeat information remain familiar pain points. The issue is not simply a lack of technology. It is the failure to apply technology in ways that remove effort.
Steeves explained that organizations often have abundant customer data but struggle to turn it into meaningful action.
Steeves said:
“There’s so much information out there. There’s so many different ways to listen to people, but there is a really… absence of acting on that in a productive way.”
A business can add a chatbot, deploy an AI agent, or collect more interaction data without improving the experience. Better outcomes require leaders to identify the friction customers actually face, align teams around it, and then use technology to solve it.
Watch the full interview with Audrey Steeves here:
What Were CMP’s Key Findings at CCW Nashville?
CMP’s findings emphasized that customer choice and trust still shape whether automation feels helpful or restrictive. Steeves said customers can perceive self-service not as added convenience, but as a barrier placed between them and the help they need.
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Customers still want personalization, but brands must use it carefully. Personalization becomes intrusive when customers cannot see a clear benefit or feel uncomfortable with how much a company knows.
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Familiar friction has not disappeared. Long waits, repeated questions, and disconnected interactions remain major sources of dissatisfaction despite new CX investments.
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Self-service cannot become forced service. CMP shared that 89% of customers feel brands shepherd them toward self-service before they can reach a live person.
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Orchestration matters more than raw AI capability. The question is not whether AI or humans should handle every interaction. It is how organizations route the right moment to the right resource.
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Agent roles are becoming more complex. Organizations now expect frontline employees to use more systems, apply judgment, and handle emotionally demanding conversations.
For Steeves, the practical starting point is simple: define the business problem before choosing the technology. That means CX leaders need agreement across departments on the issue they are trying to fix, rather than starting with a vendor capability and searching for a use case afterward.
How Can Observability Create a Unified Customer View?
Data collection and the ability to use that data more effectively formed a wider discussion throughout CCW Nashville. Contact centers capture some of the most direct and valuable customer feedback available to an organization, across calls, chats, self-service journeys, complaints, sentiment, and repeat contacts. Yet many businesses still hold that information in separate systems or review only a small sample of interactions.
The opportunity is not simply to collect more data. It is to build a connected view that shows what customers are trying to achieve, where they encounter friction, how they feel during an interaction, and whether an apparent resolution actually held.
That is why observability featured so strongly in the event’s conversations. Ivy Holt, VP of AI Enablement at Parloa, described observability as an end-to-end view that helps leaders connect signals across the customer journey, rather than assessing isolated incidents.
Holt said:
“Having observability from end to end is where you’re going to be able to connect the dots and make those insights.”
Holt noted that contact centers historically reviewed and quality-assured only a small portion of customer conversations. AI gives enterprises a chance to analyze interactions at far greater scale, including voice conversations, sentiment shifts, unresolved issues, and moments where customers struggle to get an answer.