Enterprise Connect 2026 landed in Las Vegas with a clear identity shift.
This is now a CX show.
The expo floor, the keynotes, and the hallway conversations all reflected a market that has moved decisively: customer experience is no longer a feature of the enterprise communications conversation — it is the conversation. And at the center of it all sits a question that CX leaders can no longer deflect.
Is AI actually improving the customer experience — or are we spending our way into a more complicated version of the same problems?
We gathered the sharpest voices at EC 2026 to find out what’s really happening — beyond the booth demos and keynote soundbites.
Watch Enterprise Connections 2026 Reflections
The Scene Setter: Outcomes Are the Only Currency That Matters Now
Justin Robbins, Founder & Principal Analyst, Metric Sherpa
As Enterprise Connect’s first-ever emcee, Justin Robbins had a front-row seat to the entire event. His read on the defining theme of EC 2026 cuts to the heart of where CX sits in 2026.
“Everyone is talking about outcomes — but the evidence still isn’t there yet.”
CX leaders are under pressure to prove AI’s impact on customer satisfaction, resolution times, agent performance, and revenue. The language of outcomes is everywhere. But the data to back it up remains inconsistent. Justin expects 2026 to be the year that gap starts to close — meaningfully.
The Reality Check: Who Controls the Data Controls the Experience
Moshe Beauford, Principal & Strategic Advisor, CommsAnalysis
For CX leaders, data isn’t just an IT concern — it’s the foundation of every AI-powered customer interaction. And according to Moshe Beauford, enterprise organisations are waking up to just how much control they’ve surrendered.
“We’ve come full circle — enterprises want control of their data again.”
AI-powered CX depends on clean, governed, accessible data. As organisations reassert data sovereignty, CX teams need a seat at that governance table — not just a downstream dependency on what IT decides.
“AI pricing is confusing buyers and vendors alike — and nobody’s really solved it yet.”
For contact centre and CX budget holders, unclear AI pricing creates real planning risk. Moshe’s advice: push vendors for transparency now, before consumption-based models lock you into costs you didn’t anticipate.
The Central Tension: Every CX Leader Feels This
Zeus Kerravala, Founder & Principal Analyst, ZK Research
Zeus Kerravala captured the tension running through CX strategy conversations at EC 2026 with unusual clarity.
“The C-suite is being pulled equally by FOMO and fear — and both are powerful.”
Deploy AI too slowly and competitors gain ground. Deploy too quickly and you risk customer trust, compliance failures, and agent disruption. CX leaders are navigating that tightrope every day — and EC 2026 made clear there’s no easy answer.
“Vendors are under pressure to prove business value, not just talk about AI.”
CX buyers have heard enough about AI potential. They want proof — in terms of CSAT, handle time, resolution rates, and revenue impact. Vendors who can’t deliver that conversation are losing credibility fast.
AI and ROI: The Questions CX Leaders Are Asking
The Hard Truth
Kevin Kieller, Co-Founder & Lead Analyst, enableUC
EC 2026 was positioned as the year AI ROI became real. The reality on the ground is more measured.
“There’s still a lot of experimentation — but not a lot of proven ROI.”
For CX leaders under pressure to justify AI investment to CFOs, the most honest advice right now is to focus on what’s actually working.
“The AI use cases that are paying off are still the boring ones.”
Post-call summaries, agent assist tools, basic automation of repetitive queries — these are delivering measurable value. Agentic AI at contact centre scale remains a compelling future state, not a 2026 reality.
The Skeptic’s View
Fazil Balkaya, Founder & Principal Analyst, Balkaya Consulting
CX buyers evaluating AI vendors should be particularly cautious about claims of rapid deployment and instant results.
“AI agents don’t work without context — and context takes real effort.”
Building effective AI agents for customer interactions requires deep contextual training, clean data, and ongoing refinement. Vendors promising otherwise are setting customers up for a difficult conversation three months post-deployment.
“AI’s real power is its ability to analyze everything — not replace people.”
The ability to analyze every customer interaction at scale — identifying patterns, predicting needs, flagging failures — is where AI delivers transformative value for CX. That story deserves more attention than workforce replacement headlines.
Practical Advice for CX Leaders Deploying AI Now
Luke Jamieson, CX Evangelist, Operata
Luke Jamieson delivered some of the most actionable guidance of the event for CX teams navigating AI deployment.
“There isn’t an all-in-one AI solution — fragmentation is the reality.”
Contact centre environments are complex, multi-vendor ecosystems. CX leaders need end-to-end visibility across that stack — not just optimisation within individual tools. The organisations building that visibility now will have a significant advantage as AI deepens.
“If you lose trust the first time, you don’t get a second chance.”
Customer trust is the ultimate CX asset. AI deployments that fail publicly — wrong answers, mishandled data, poor experiences — are extraordinarily difficult to recover from. Go carefully. Go intentionally.
The Market Has Shifted: CX Is Now the Main Event
Jon Arnold, Principal Analyst, J Arnold & Associates
Jon Arnold made the observation CX professionals have been waiting for Enterprise Connect to officially acknowledge.
“CX isn’t adjacent to UC anymore — it’s the main event.”
The vendor mix, the session agenda, and the conversations on the show floor all confirm it. Enterprise communications has been reoriented around customer experience — and the strategic implications for CX leaders are significant.
“You can’t separate CX and EX if you want real business outcomes.”
Agent experience, employee enablement, and customer satisfaction are not separate programmes. The organisations treating them as one integrated strategy are pulling ahead.
Human Impact: The Agent Experience Behind the Customer Experience
Blair Pleasant, President & Principal Analyst, COMMfusion
Every CX leader knows that agent experience directly shapes customer experience. Blair Pleasant brought that reality back to the centre of the AI conversation.
“Automation is helping people — but it’s also raising expectations and stress.”
AI tools are making agents more productive — but they’re also creating new pressures. Higher expectations, more complex interactions, and the constant question of job security are real factors in agent wellbeing and retention. CX leaders deploying AI need a workforce strategy, not just a technology strategy.
“Let AI help you do your job better — don’t be afraid of it.”
Looking Ahead: What CX Leaders Should Prepare For
The Honest Forecast
Irwin Lazar, President & Principal Analyst, Metrigy
“We’re going to realize AI adoption was slower and harder than we expected.”
For CX teams, the barriers to AI scale are well-known: data quality, governance, user adoption, cost justification, and the challenge of measuring success. Those barriers aren’t going away in 2026. Planning for a 2027 maturity curve is more realistic
Big Takeaways to Ponder
Three days on the show floor. Dozens of conversations. One clear signal: the CX industry is entering a new phase of accountability. Here are ten things worth sitting with after Enterprise Connect 2026.
1. Talking about outcomes is not the same as delivering them.
Every booth, every keynote, and every analyst session referenced outcomes. But the gap between aspiration and evidence remains wide. CX leaders who can bring real data — resolution rates, CSAT improvements, handle time reductions — to the table will have an enormous advantage over those still promising potential.
2. The real AI risk in CX isn’t moving too slowly — it’s moving without trust.
A failed AI deployment in a customer-facing environment is not a minor setback. It erodes customer trust, damages brand reputation, and makes internal stakeholders reluctant to invest again. Speed matters — but not more than getting it right the first time.
3. Data sovereignty is now a CX problem, not just an IT problem.
AI-powered customer experiences depend entirely on the quality, accessibility, and governance of underlying data. As enterprises reassert control over their data estates, CX leaders need a seat at that table — not just a dependency on what IT decides downstream.
4. AI pricing is an unresolved risk hiding in plain sight.
Consumption-based AI pricing models are inconsistent, immature, and poorly understood by both buyers and vendors. CX budget holders who don’t pressure-test pricing assumptions before signing are setting themselves up for uncomfortable conversations with their CFOs in 12 months.
5. Voice is still the most important channel in your CX stack.
Digital deflection strategies are valuable — but 80% of complex customer interactions still require a voice call to reach full resolution. CX leaders who have deprioritised voice infrastructure, staffing, or quality in favour of chat-first strategies may need to rebalance.
6. The AI use cases worth celebrating right now are the unglamorous ones.
Post-call summaries. Real-time agent assist. Automated after-call work. These are the use cases delivering measurable ROI in 2026. Build credibility with the boring wins — then use that foundation to justify the bigger bets.
7. If you can’t explain AI ROI to your CFO, you don’t have an AI strategy.
Vendors and internal CX teams alike are still relying on technology language to justify AI investment. Budget holders want business outcomes — revenue impact, cost reduction, productivity gains, and customer satisfaction improvement. If you can’t make that translation, the budget conversation will be a short one.
8. Fragmentation is not a problem to solve — it’s an environment to manage.
There is no all-in-one CX platform that does everything well. There won’t be anytime soon. The most effective CX organisations in 2026 are those building visibility, governance, and integration capability across fragmented stacks — not waiting for a single vendor to consolidate the market.
9. Agent experience is not a HR initiative — it’s a CX strategy.
How agents feel directly shapes how customers feel. AI deployments that increase productivity but also increase pressure, anxiety, and burnout are not net positives for customer experience. The organisations winning at CX are treating EX and CX as one interconnected challenge — and investing accordingly.
10. Agentic AI is the right bet — but preparation separates winners from casualties.
The potential of autonomous AI agents in the contact centre is real and significant. But the organisations that will benefit most aren’t those deploying fastest — they’re those building the data quality, governance frameworks, compliance structures, and human oversight models to support agents that behave correctly, consistently, and safely. Place the bet. Do the work.
