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Quiq Launches Voice AI to Unify Enterprise Customer Experience

2 minute read
Dom Nicastro avatar
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Quiq's new platform coordinates voice, messaging and human agents under one governance layer, targeting enterprises stuck in AI pilot mode.

The Gist

  • Voice AI launch. Quiq adds real-time Voice AI to its CX platform.
  • Unified interactions. Context persists across voice, messaging and human agents.
  • Enterprise CX impact. CX leaders gain scalable, governed AI for complex operations.

Quiq on May 11 launched Voice AI and expanded its agentic AI platform to help enterprises move from isolated AI pilots to governed, full-scale deployments across the customer journey. The company also introduced a refreshed brand identity.

The platform brings voice, messaging and human agents into a single coordinated system that, according to company officials, maintains context throughout interactions. Quiq said the system applies configurable guardrails to every interaction to support reliability, transparency and brand alignment.

Quiq asserted that more than 150 global brands use its platform. In one cited example, a global retailer operates a single AI agent supporting four brands, seven countries and four communication channels simultaneously. 

The real challenge is getting AI to work through the entire customer experience in a way that is reliable, understandable, and under control, which is where the market is heading.

- Jen Grant, CMO

Quiq

Table of Contents

Key Capabilities for Quiq Voice AI

CapabilityDescription
Voice AIReal-time voice interactions unified with messaging channels
Cross-channel contextInteraction history persists across voice, chat and SMS
Coordinated AI-human workflowsAI and human agents operate under one governance layer
Configurable guardrailsConsistent rules enforce brand standards across channels
Multi-brand, multi-language supportSingle agent serves multiple brands, countries and channels

Recent Quiq Developments

Over the past nine months, Quiq has pushed its enterprise agentic AI platform from pilots into scaled production. The company laid groundwork in September 2025 by appointing channel veteran Karen Bowman as senior director to build out its distributor ecosystem. In November 2025, it launched Conversation Analyst, an agentic AI quality-management tool that replaces manual sampling with continuous auditing of voice, web chat and SMS interactions.

Also in November, Quiq struck a distribution partnership with Carahsoft to open government procurement channels. On March 10, Quiq named Jen Grant CMO. Further, CEO Mike Myer citing production deployments at Roku and Panasonic as evidence the company is "past experimentation."

AI Agents Reshape Customer Journeys

Enterprise AI agents have moved past cost-reduction pilots into full journey orchestration, but execution gaps persist across voice, chat and messaging channels.

Omnichannel Reach & Resolution Rates

AI agents now resolve up to 40% of inquiries autonomously across chat, email, voice and WhatsApp, and generative AI-enabled agents produced a 14% increase in issue resolution per hour.

Despite 88% of contact centers deploying AI at scale, only about a quarter have operationalized it into daily workflows. Cross-channel continuity remains weak: just 7% deliver uninterrupted transitions between channels.

Hybrid Human-AI Models & Governance

The dominant operating model in 2026 is human-in-the-loop. Seventy-six percent of contact center leaders have formalized a split where AI handles routing while humans manage complex or high-stakes interactions.

Governed AI agents constrain large language models with business logic to maintain deterministic outcomes in regulated environments. GetVocal reported 31% fewer escalations and 70% deflection rates under this model.

Context Continuity & Workflow Automation

Major platforms now organize around unified customer profiles rather than discrete tickets, giving AI agents full interaction context. AI-driven intent classification reduces resolution time by eliminating queue-bouncing, while automated summarization and next-best-action guidance cut after-call work.

Measurable Outcomes

Key benchmarks reported across enterprise deployments:

  • 28% improvement in resolution time and 19% gain in first-contact resolution, per the 2025 CMSWire State of the CMO Report
  • 30% agent efficiency gain and 97% customer satisfaction after Samsung adopted unified service architecture
  • Gartner predicted agentic AI will handle 80% of routine service inquiries by 2029, cutting costs 30%
  • By 2027, Gartner projects 40% of service issues will be fully resolved by third-party generative AI tools
Learning Opportunities

Quiq Background

Quiq is a Bozeman, Montana-based technology provider founded in 2015, serving enterprise and upper mid-market CX leaders in retail, travel, hospitality and manufacturing.

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About the Author
Dom Nicastro

Dom Nicastro is editor-in-chief of CMSWire and an award-winning journalist with a passion for technology, customer experience and marketing. With more than 20 years of experience, he has written for various publications, like the Gloucester Daily Times and Boston Magazine. He has a proven track record of delivering high-quality, informative, and engaging content to his readers. Dom works tirelessly to stay up-to-date with the latest trends in the industry to provide readers with accurate, trustworthy information to help them make informed decisions. Connect with Dom Nicastro:

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