Every year, Enterprise Connect 2026 gives the customer experience (CX) and contact center industry a glimpse into what’s coming next. This year’s event made one thing clear: AI has moved beyond experimentation and into operational reality.
AI was everywhere, product announcements, keynote stages, hallway conversations, and vendor demos. As RingCentral President and COO Kira Makagon put it during the event, “AI isn’t just the talk of the show, it is the show.”
But beneath the excitement, a more mature conversation is emerging. The industry is shifting from asking “What can AI do?” to asking “How do we safely deploy, orchestrate, and prove the value of AI at scale?”
Here are some of the themes that stood out most from this year’s conference.
The biggest shift in tone compared to previous years was the focus on proof rather than potential.
Many organizations have already run AI pilots such as generative knowledge assistants, agent copilots, conversational bots, and even autonomous AI agents. But now leaders are asking harder questions:
This topic took center stage during a session titled “AI: Prove It or Lose It,” where Cyara’s Burt Lampl joined our very own Nathan Holm to discuss the growing AI trust gap facing enterprises.
As companies move from simple LLM experiments to autonomous agents interacting directly with customers, the risk profile changes dramatically. Without a clear approach to testing, validation, and monitoring, organizations may be exposing themselves to operational and reputational risk.
The takeaway: AI capability is accelerating quickly, but governance and testing must keep pace.
While AI dominated the agenda, the deeper theme across sessions was orchestration.
AI tools are multiplying LLMs, copilots, virtual agents, analytics platforms, and automation layers. But simply adding more AI tools doesn’t automatically improve customer experience.
The real challenge is how all these components work together across the contact center technology stack:
Many organizations are discovering that AI success isn’t about deploying a single tool, it’s about coordinating an entire ecosystem.
For years, much of the innovation in customer experience focused on digital channels like chat and messaging. But Enterprise Connect made it clear that voice is back at the center of the conversation.
Voice remains the most complex and resource intensive channel for many contact centers, but advances in voice AI, speech recognition, and generative AI are rapidly changing what’s possible.
Organizations are investing heavily in technologies that improve:
Many industry leaders described Voice AI as the next major frontier in contact center automation. The challenge now is ensuring these systems work reliably in real-world customer interactions.
One of the most practical discussions at the conference came from a panel featuring leaders from major CCaaS platforms, including Amazon Connect, Genesys, NiCE, and Five9. The conversation reinforced a simple but important idea: customers don’t care about channels; they care about resolution.
Many organizations previously optimized individual channels like voice, chat, or messaging independently. But as AI becomes more embedded throughout the contact center, that mindset is changing. Leaders are now focused on end-to-end problem resolution, regardless of where the interaction begins.
The panel also shared practical guidance for organizations deploying AI in the contact center:
The message was clear: AI doesn’t need to solve every problem on day one. The organizations seeing the most success are focusing on high-impact use cases that reduce customer effort and improve resolution speed.
“Agentic AI” was one of the most common buzzwords heard throughout the conference.
These systems can reason, plan, and autonomously complete tasks across systems. But several speakers emphasized an important point: not every workflow should be autonomous.
In many environments, especially regulated industries, deterministic logic still plays a critical role. Further, in all industries, there are still tasks, questions, and flows that don’t yet make sense to migrate to AI due to cost or implementation complexity.
For security, compliance, and operational control, organizations must balance:
The most effective implementations combine both approaches.
If there was one message that came through clearly at Enterprise Connect this year, it’s that the AI era in customer experience has officially begun. But the industry is also entering a new phase of maturity.
The next wave of innovation in AI-powered contact centers won’t just come from new AI models or flashy demos. It will come from organizations that can:
AI may be the headline, but execution will determine who wins.
For contact center leaders, Enterprise Connect 2026 highlighted an important shift:
The question is no longer whether AI will transform customer experience. The real question is how organizations will implement it responsibly, reliably, and at scale. Those that solve that challenge will define the next generation of customer engagement.
Thinking about implementing AI in your contact center?
The real challenge isn’t just deploying AI tools, it’s orchestrating how they work together across your voice, digital, data, and CRM platforms. If you're exploring AI agents, automation, or contact center transformation, let’s talk about how to orchestrate these technologies in a way that’s scalable, secure, and aligned to real customer outcomes.
Connect with the Kenway team to start the conversation.