Voice AI on Zoom Contact Center: 6 Decisions Before You Build

If your company already runs on Zoom Phone or Zoom Workplace, Zoom Contact Center may be the most natural fit for your contact center. It runs on the platform your employees use every day, inside the same Zoom app, and your admins manage it alongside the Zoom services they already look after. That's one less vendor to manage and one less system for agents to learn.

The organizations making the move tend to be in one of four positions:

• Running two platforms for one customer conversation. Zoom Phone for the business, a separate contact center for customers, with two vendors, two admin teams, and transfers that cross between them.
• Facing a renewal on a legacy system. Avaya, Mitel, Cisco, or another on-premise setup, with support or hardware contracts coming to an end.
• Paying for more complexity than they use. An enterprise contact center platform that works, but takes constant effort to run. That was Brivo's position before it moved from NiCE CXone to Zoom Contact Center.
• Wanting AI without adding another vendor. Teams that want voice and chat AI, but would rather not bolt a separate AI product onto their contact center.

Zoom has voice AI built in. Getting it right is up to you.

Leaders are under real pressure to add it. In a Gartner survey, 60% of customer service and support leaders said they were under pressure to adopt AI in their function.

Zoom supports it natively. Zoom Virtual Agent is Zoom's own AI agent for voice and chat, built to work inside Zoom Contact Center and Zoom Phone. It can answer customer questions, complete tasks such as bookings or account updates, and hand callers to a live agent when they need one. Zoom also offers AI Expert Assist, which supports human agents during live conversations.

So the technology isn't the obstacle. The harder part is the set of business decisions behind it: what the agent should handle, what it's allowed to know, and how customers reach a person. Customers are wary, and the same Gartner survey found 64% would prefer companies didn't use AI in customer service.

This guide covers the six decisions Zoom organizations should make before building voice AI, so it cuts cost without costing them customers.

What Zoom Virtual Agent can do today

According to Zoom's documentation, the current version of Zoom Virtual Agent can:

• Resolve requests end to end, such as a return, an account update, or a booking, rather than only answering questions.
• Answer from your own content, synced from Zendesk, ServiceNow, Salesforce, Confluence, or your website.
• Act in your systems through APIs, with prebuilt connectors for platforms including Salesforce and ServiceNow.
• Transfer to a live agent with a summary, so customers don't have to repeat themselves.
• Report on its own performance, including containment, escalations, and cost savings.

Check what's enabled on your account before you plan around it. Several of these features need activating by your Zoom account team.

Six decisions that determine the result

1. ‍Which calls to automate first. Start with two or three high-volume, predictable requests, such as order status, appointment changes, or password resets. A narrow agent that resolves a few call types well builds the case to expand. Zoom recommends keeping each agent to around five Skills.‍‍
2. ‍What "better" means, in numbers. Agree targets before the build: containment, transfer rate, resolution, and customer satisfaction. Without a baseline from your current contact center, you can't show the investment worked.‍
3. What the agent is allowed to know. It answers from the knowledge base you give it, so an outdated article becomes a wrong answer to a customer. Assign an owner and a review cycle, not a one-off upload.‍
4. Which systems it can act in, and what data it can see. Every action, such as checking an order or rebooking an appointment, needs a connection to the system behind it. Limit each connection to the fields it needs. Check data residency early: Zoom states that data processed by its AI features can't be kept in a specific region.‍
5. How customers reach a person. This is the decision customers will judge you on. In Gartner's survey, difficulty reaching a person was the top concern about AI in service. Make the route to a human easy, and make sure the agent passes on what the customer already said.‍
6. Who runs it after launch. Policies and products change, and the agent has to change with them. Decide whether your team, a partner, or both will own testing, tuning, and reporting. Condado's managed services team does this for clients after go-live.

Where voice AI projects lose customer trust

• Automating everything on day one. Broad scope means more call types handled badly. Prove three use cases, then expand.
• Measuring containment alone. A high containment rate can hide callers who gave up. Track resolution and satisfaction alongside it.
• Hiding the exit. Customers who can't reach a person don't just hang up. Gartner found 53% would consider switching to a competitor over AI in customer service.
• Putting AI on a contact center that isn't stable. Voice AI depends on routing, queues, and integrations underneath it. When we moved Swyft Filings to NiCE CXone, core routing and IVR came first, then analytics and quality management, and only then AI.

Brivo chose Zoom Contact Center for fit, not features

Brivo's previous contact center was becoming increasingly hard to run: keeping call quality, routing, and Salesforce aligned took growing effort, and the team had little appetite for another complex rollout.

Condado structured the engagement around evaluation before commitment. The question was not which platform had the most features, but which one Brivo's team could run well day to day. Zoom Contact Center fit the Zoom Phone and Salesforce setup Brivo already had, and the first phase was kept narrow to validate core capabilities.

Brivo now has more consistent call quality and routing, better Salesforce alignment, and less admin effort. Condado manages the platform today, with automation and AI planned for later phases.

‍Read the Brivo case study →

Get voice AI right the first time

Condado has implemented and managed contact centers for more than 20 years, across Zoom, NiCE CXone, Five9, and Genesys. We implement Zoom Contact Center, build the voice and chat AI on top of it, and stay to manage the platform after go-live. You work with one partner from first plan to full production.

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