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9 min read
Published on October 21, 2026
Customers expect resolution, not repetition. They don't want to explain their issue to a virtual agent, then again to a live agent, then once more when they follow up by email. But that's what happens when customer context is scattered across different apps and channels. A conversation might start in chat, move to a phone call, and continue in an email thread. Each time it moves, people and AI agents lose the thread, and the customer pays the price.
Closing that gap was a big focus at Zoomtopia 2026, our annual customer conference. This year's theme, "Conversation to Completion," centered on turning business conversations into finished work. For customer experience leaders, that means rethinking how success is measured in a resolution economy.
The shift is simple but important: success isn't about how many interactions you contain or deflect. It's about how many customer issues actually get resolved.
Watch Zoomtopia CX sessions on demand
Many customer journeys don't break because of one bad interaction. They break in the handoffs: between a chat and a phone call, between a virtual agent and a live agent, or between the contact center and the team that owns the fix. Each handoff is a chance for context to get lost and for customers to start over.
Many contact centers run on several disconnected tools. Even with all the investment in AI, the problem isn't the technology—it's visibility. The data you need to improve customer outcomes is often already in your conversations, operations, and workforce metrics. It just isn't in one place.
Part of the problem is where orchestration starts. For many teams, it starts with the case record, so anything that happened before a ticket was created stays hidden. For others, it starts at the contact center queue, so anything outside the queue gets missed. There's a better option: orchestration that starts wherever the conversation happens, before it becomes a case or reaches a queue.
One suite across every channel is a good start. A platform that orchestrates well from one starting point is better. The best is an AI-native platform with a unified context and reasoning layer, one designed to understand the whole customer journey instead of managing it in pieces.
The best is an AI-native platform with a unified context and reasoning layer, designed to understand the whole customer journey rather than managing it in pieces. The platform is built around that idea in three layers:
Across all three, the platform is designed to learn your business and suggest the next best action. Success is measured by the outcomes customers actually feel: resolution rate, repeat contacts, and customer effort.
Every innovation, from Zoom Virtual Agent taking action to CX Insights getting signals to the people who can act on them, comes back to one idea:
"Conversation is where the customer relationship lives. Zoom CX is where it gets resolved."
— Michelle Couture, Head of CX and GTM Product Marketing, Zoom
A virtual agent is often the first place customers go when something goes wrong after a purchase. If that experience feels like a dead end, with repeated questions, no real action, or a transfer that starts from scratch, customer trust takes a hit. But when a virtual agent understands what the customer needs, takes action, and passes full context to a person when needed, it can make customers more loyal.
Arvind Rangarajan, Product Marketing Manager for Zoom Virtual Agent, set a higher bar: an AI agent that doesn't just capture the conversation, but completes it. He showed what that looks like with one customer call, one tight deadline, and no repeated information.
The demo followed Luke, a photographer whose new lens arrived damaged two days before a flight overseas. When he called, Zoom Virtual Agent recognized his phone number. Using the unified context layer, it pulled up his profile and recent order, then greeted him by name. The virtual agent recognized his phone number and greeted him by name, so he didn't need to repeat his account details. Before taking any account action, it confirmed his identity with an additional verification step. Without leaving the call, the virtual agent found his order, reviewed a photo of the damage, and redirected his replacement to a nearby FedEx location so he'd have it before his flight.
When Luke asked to speak with a person, the live agent already knew about his order, his trip, and everything he'd discussed with the virtual agent. Luke didn't have to repeat a thing:
"Wow, you already know everything. That's seamless."
That's where Zoom Virtual Agent can help. It's designed to reason through complex problems, take action, and adapt in real time while keeping your brand voice and customer context. Customers can get their issues resolved quickly, and your live agents can focus on the conversations that need them most. With Agent Architect, teams can also build agents like this faster. They start from real support conversations instead of a blank page, then test and refine the agent before it reaches a customer.
The result is a virtual agent that earns customer trust on the front lines, plus a build-and-improve process that keeps it sharp behind the scenes.
"This is how great services scale."
— Arvind Rangarajan, Product Marketing Manager, Zoom Virtual Agent
Watch the full demo replay here.
CX teams are talking about AI in the contact center. Few can explain what it has changed for their agents and customers.
Jodi Reuven, Senior PMM of Zoom Contact Center, talked with two CX leaders who are already using AI in their day-to-day operations: Francine Tebo, Director of Employee Engagement at Higginbotham and Jason Eversole, Director of Sales Operations at Robinson & Henry, P.C. Both teams use a range of intelligent capabilities, from real-time agent assist and conversation insights to Zoom Virtual Agent. They didn't talk about what AI might do someday. They talked about how it's working for them now.
For Higginbotham, which supports roughly 2,500 to 3,000 clients, the first big change wasn't a single AI feature. It was bringing the team onto one connected system. Francine said that once everyone was working in a single ecosystem, the way the team shared information changed.
Employees felt the difference, and so did callers. As she put it, "Our customers don't see departments. They see Higginbotham."
Robinson & Henry made it clear the tools aren't what's holding teams back: "The technology is ready." Their advice for CX leaders still weighing their first move into AI was the same: start now, and start with a real problem.
"Don't wait for the perfect use case. Start with a problem that's creating friction for your customers or your employees and solve it. Measure the impact and build from there. Focus on outcomes first and technology second."
—Francine Tebo, Director of Employee Engagement | Higginbotham
Jason said the risk of waiting keeps growing, and that the technology is ready for teams that are willing to begin:
"Your competitors are not hesitating and neither should you. Pick one thing, such as routing, virtual agent, quality management, and turn it on. I think you'll learn more in the first 30 days of using it than six months of evaluating it."
—Jason Eversole, Director of Sales Operations | Robinson & Henry
Two teams in two industries had the same message: the organizations seeing value from AI didn't wait for a perfect plan. They started with one problem and built from there.
A customer starts a return in chat. Two days later, they call to check on it. The next week, they walk into a store and used a kiosk, where the same question can be picked up by the virtual agent or routed to a live agent through Zoom Contact Center. For most contact centers, that's a normal week.
Each of those interactions holds something the next one needs: what the customer asked, what's already been tried, and what still needs to happen. In most environments, though, that history is spread across systems, stuck in the case record, or lost when the call ends. Customers end up repeating themselves, and agents end up rebuilding the story by hand.
Zoom CX is built to close that gap with a simple idea: the business should remember the customer, so the customer doesn't have to.
Zoom's new unified context layer brings together signals from customer engagements, transcripts, CRM data, and live conversations. It uses AI to bring up the information that matters most for each interaction. That context builds over time, whether the last interaction was five minutes or five months ago.
For CX teams, this means agents spend less time on "Can you tell me what happened last time?" and more time solving the problem in front of them.
Not every customer conversation happens online. Zoom is extending Zoom Virtual Agent to a new kiosk channel, bringing intelligent self-service to retail stores, healthcare facilities, and service centers. The kiosk agent uses the same unified context layer and Customer Profile, and it's multimodal. A shopper can hold a product up to the camera and ask about it. If the virtual agent can't resolve the request, it can connect the customer with an employee on the floor, route to Zoom Phone, or escalate to Zoom Contact Center.
For CX teams, this means in-store interactions finally produce the kind of intent data that used to come only from digital channels, including product interest, inventory questions, and promotional feedback.
CX teams don't need more dashboards. They need clear answers to questions like "Why are escalations spiking?" When insights explain the "why" in plain language, leaders can coach smarter and fix problems at the root.
CX Insights is designed to give those answers. It automatically classifies voice, chat, and email transcripts and connects them with operational data like handle time, queue, agent, and outcome. Trends that would otherwise stay buried come to the surface, backed by evidence from real customer interactions.
Picture asking, "What are the top drivers of escalated calls this week?" and then acting on the answer right away. New alerts and recommended actions are designed to flag patterns, help supervisors schedule coaching, and share findings with leadership through one-click executive briefs. The result is data that turns into action, and clarity that improves both operations and long-term loyalty
Chris Morrissey, General Manager of Zoom CX, noted that "every interaction a customer has with a business, whether it's a call, chat, kiosk visit, or conversation with a virtual agent, generates context that should make the next one smarter."
For CX leaders, the question isn't whether customers will move across channels. They already do. The question is whether their history moves with them.
See what's new in Zoom CX
Great CX isn't about adding more tools. It's about making the ones you have work together. Here are some practical ways to put this year's biggest CX ideas into action and build a more connected customer experience in your contact center:
What ties these ideas together is simple: great CX isn't about any one tool. It's about how well everything connects, and how that connection makes the customer feel.
The CX teams that pull ahead won't be the ones with the most AI agents or the longest list of features. They'll be the ones who keep context moving, from one channel to the next, from AI agents to live agents, and from one conversation to the one that follows.
When every interaction builds on the last, customers stop repeating themselves, agents stop rebuilding history from scratch, and issues actually get resolved. That's what conversation to completion looks like in CX.
See connected CX in action
At Zoomtopia 2026, we introduced several new Zoom CX capabilities centered on the "Conversation to Completion" theme. Key announcements included the unified context layer, a shared memory layer for AI and live human agents — the Zoom Virtual Agent kiosk channel for in-store and physical locations, and Agent Architect, a tool that helps CX teams build virtual agents faster using real support conversations as a starting point.
The unified context layer is a capability within Zoom CX that aggregates signals from customer engagements, transcripts, CRM data, and live conversations. It uses AI to surface the most relevant information at the moment it's needed, so agents, human or virtual, can pick up any conversation without asking the customer to repeat themselves.
Zoom Virtual Agent is an AI-powered self-service solution that handles customer inquiries across voice, chat, and digital channels. It's designed to understand customer intent, take action on requests, and pass full context to a live agent when escalation is needed. It works natively within the Zoom Contact Center platform and supports voice, chat, and now in-person kiosk interactions.
The resolution economy is a framework for measuring CX success by outcomes rather than efficiency. Instead of tracking how many interactions were contained or deflected, teams measure how many customer issues were actually resolved. The distinction matters because deflection typically means the problem still exists: the customer simply had to try a different channel.
Agent Architect is a build-and-test capability within Zoom Virtual Agent that lets CX teams create virtual agents starting from real support conversations rather than a blank configuration. Teams can test and refine the agent's behavior before it interacts with live customers, which helps reduce time to deployment and improve response quality from day one.
