Quiq brings its Voice AI agent to Zoom Contact Center

By Sophie Lindqvist

On November 12, 2026, Quiq announced its Voice AI agent’s availability in the Zoom App Marketplace and its integration with Zoom Contact Center. The company also reported a 67% decrease in cost per interaction at Brinks Home.

The agent automates repetitive service calls while keeping a path to human agents. Quiq says those workers receive the call details and conversation context inside the Zoom desktop app, so an exception does not begin with a blank handoff.

For enterprise buyers, the stakes are the cost and effort of adding AI without discarding existing work. Quiq’s two routes address that problem, while its months-long production timeline shows why marketplace availability is not the same as a completed rollout.

What does the Zoom integration change?

Quiq divides the offering into two adoption paths:

• Add to an existing Zoom setup: Businesses can add the voice agent to reduce routine calls reaching staff.
• Move existing Quiq agents to Zoom: Customers can retain current AI agents instead of rebuilding them, preserving prior deployment work.

The second route preserves work already put into those deployments, rather than requiring customers to start over. Quiq chief executive Mike Myer said the marketplace offering is intended to avoid "the integration and continuing maintenance work required by other third-party platforms." He also said Quiq had heard interest from its own customers in moving to Zoom Contact Center.

The practical result is that Zoom customers can add automation without replacing their contact center, while Quiq customers can carry existing agents into the move.

How does the Voice AI handle a call?

Quiq’s Voice AI documentation describes an agent that can handle interruptions, respond naturally and track changes in a conversation while continuing toward a resolution. At the center are Process Guides, plain-language operating procedures that adapt during the call.

Quiq contrasts those guides with fixed interactive voice response scripts. According to Quiq, a fixed script can break when a caller moves outside the expected options. The adaptive process is designed to keep working as the conversation changes.

The company says the agent can complete multi-step tasks without transferring the caller. Examples include rebooking a flight, updating an account and working through a troubleshooting flow. The process can include checking eligibility, confirming details and taking the action within one call.

Quiq identifies three uses named in the release:

• Returns and exchanges: The agent can work through these requests during the call.
• Warranty information: It can collect the details needed for warranty-information requests.
• Purchase assistance: It can guide a customer through the process step by step.

These examples share one mechanism: the agent keeps working inside the same call. Quiq says a human remains available when a request goes beyond routine work.

In plain terms, the agent is meant to finish routine requests itself and hand over only the exceptions that need more judgment.

Can conversation context move between channels?

Quiq says conversation context can carry across voice, SMS, WhatsApp and web chat. A customer can therefore start on one channel and continue on another without rebuilding the history from scratch.

The release gives a practical example involving a claim that needs supporting photos. The customer can receive a text and send images during the call, without hanging up or repeating earlier details.

According to Quiq, that channel switch remains part of the same service interaction. Instead of restarting the request with a new system, the customer and agent retain the information already established.

The point is continuity rather than the number of channels. Quiq presents cross-channel context as a way to preserve momentum and reduce repeated questions when a request needs another form of input.

What does Verified Intelligence add?

Quiq’s release describes a modular architecture that can connect with customer relationship management, contact-center-as-a-service, customer engagement and order-management systems. Quiq says the number of connected systems affects its stated production timeline.

Within that architecture, Verified Intelligence adds visibility into AI actions, automated simulations and testing, and verification checks. Quiq says the checks are intended to protect against misinformation and hallucinations.

The company says every voice-agent decision is logged in a reviewable tree. The tree records what was checked, which policy applied and why the agent acted, giving a reviewer a trace rather than only a final answer.

Quiq’s Verify Claim feature cross-references responses against a business’s trusted data before they reach the customer. Configurable guardrails define the agent’s operating limits.

Together, these controls let a company inspect both what the agent did and what information supported its answer. The release presents that visibility as central to enterprise adoption.

How long does enterprise deployment take?

Quiq’s stated schedule begins with a proof of concept built around actual call data. The proof of concept typically lasts two to four weeks, followed by a pilot within one to two months.

• Proof of concept: Two to four weeks, using the customer’s actual call data.
• Pilot: Within one to two months.
• Full production: Generally three to six months, depending on complexity and the number of systems the agent must connect to.

The schedule makes marketplace availability only the first step. Quiq presents the proof of concept, pilot and production work as separate stages before an enterprise deployment reaches full operation.

In practical terms, buyers should expect weeks for early testing and several months before full production.

What does the 67% figure show?

Quiq reports that Brinks Home achieved a 67% decrease in cost per interaction using its AI agents. The company says human agents spent less time on repetitive work and more time on complex interactions.

While the result comes from Brinks Home, the Zoom listing gives more businesses a route to similar automation. Quiq presents marketplace availability as broadening access, but says availability alone does not determine the result.

The practical value rests on three parts working together: automated resolution for routine requests, an auditable decision process and enough preserved context for a person to take over exceptions. Quiq’s release treats those parts as one operating model.

The next test for Zoom customers is whether deployments can reproduce the reported 67% interaction-cost reduction at Brinks Home. The audit trail and human handoff will need to work as well as the automation.