Quiq Launches Voice AI Agents for Zoom Contact Center

By Olivia Hart

Quiq reported a 67% reduction in cost per interaction at Brinks Home as it launched a Voice AI agent in the Zoom App Marketplace on November 12, 2026. Quiq says the agent is integrated with Zoom Contact Center, where it can automate repetitive service calls while preserving a path to human agents. Human agents receive both the call details and conversation context inside the Zoom desktop app.

The release provides no baseline cost, measurement period, sample size or independent audit for the 67% result. Marketplace availability widens access, but it does not by itself establish faster or cheaper operations.

What does the integration change for customers?

Quiq says the release creates two adoption paths:

• A business already using Zoom Contact Center can add Quiq’s voice agent to reduce routine calls reaching its staff.
• An existing Quiq customer moving to Zoom can retain its current AI agents instead of rebuilding them and losing completed deployment work.

CEO Mike Myer said the marketplace offering “is intended to avoid the integration and continuing maintenance work required by other third-party platforms” and that Quiq had “heard interest from its own customers in moving to Zoom Contact Center.”

The maintenance claim remains untested in the release. It provides no implementation charges, service levels or comparative evidence that the burden is lower than on competing platforms. The pitch is portability and less integration work, not a new pricing or performance guarantee.

Can the agent resolve a call without a handoff?

Quiq’s Voice AI documentation says the agent can handle interruptions, respond naturally and track changes in a conversation while continuing toward a resolution. Its Process Guides use plain-language operating procedures that adapt during a call. Quiq contrasts that approach with fixed interactive voice response scripts, which can fail when a caller moves beyond the expected options.

Quiq says the agent can complete multi-step tasks without transferring the caller, including rebooking a flight, updating an account or working through a troubleshooting flow. A call can include checking eligibility, confirming details and taking the action without a transfer.

Quiq identifies returns and exchanges, warranty-information collection and step-by-step purchase assistance as uses. The announcement supplies no task-completion rate, error rate or examples showing how often customers accept automated resolutions. The capability claim describes scope rather than measured reliability, and the release does not explain how the agent decides to transfer a request.

How does context and enterprise control work?

Conversation context can move across voice, SMS, WhatsApp and web chat, according to Quiq. If a claim requires supporting photos, the customer can receive a text and send images during the call without hanging up or repeating earlier details. Quiq describes that channel switch as one continuous service interaction, not a restart in another system.

The release describes a modular architecture that can connect with customer relationship management, contact-center-as-a-service, customer engagement and order-management systems. Verified Intelligence adds visibility into AI actions, automated simulations and testing, and verification checks intended to protect against misinformation and hallucinations. Quiq says every voice-agent decision is logged in a reviewable tree showing what was checked, which policy applied and why the agent acted.

Its Verify Claim feature cross-references responses against a business’s trusted data before they reach the customer, while configurable guardrails define the agent’s operating limits. The release gives no independent test results for those controls or details on which trusted datasets customers can connect. The control story goes beyond a basic voice bot, but its performance still depends on customer data and system integrations.

How long will enterprise deployment take?

Quiq’s stated deployment schedule starts with a proof of concept using actual call data, typically lasting two to four weeks. A pilot follows within one to two months. Full production generally takes three to six months, depending on complexity and the number of systems the agent must connect.

Quiq reports that Brinks Home achieved the 67% cost-per-interaction decrease by using its AI agents. Quiq says human agents at Brinks Home spent less time on repetitive work and had more time for complex interactions.

That percentage is not necessarily transferable to every Zoom customer. The release gives no underlying interaction volume, baseline cost, customer count or period covered. Marketplace availability is only the first step; customers still move through proof, pilot and production, so measurable gains, if any, should arrive after that multi-month deployment rather than on listing day.

Quiq argues that the integration’s practical value comes from automated resolution of routine requests, an auditable decision process and preserved context for human exception handling. The commercial test is whether customers can reach those gains within the three-to-six-month production window without losing the controls or context Quiq says underpin the approach.