May 11, 2026
Quiq Adds Voice AI to Target the Messy Reality of Scaling CX Automation
Enterprise agentic AI platform Quiq has launched Voice AI and advanced its platform to help organisations move from standalone AI experiments to full-scale, production-grade deployments across the customer journey. The company also unveiled a new brand identity to accompany the product evolution.
Chat, SMS, and voice often run on separate systems, which means customer context gets lost when people move between them, and AI behaviour becomes difficult to monitor or control. Quiq’s argument is that the industry’s real problem is no longer whether to use AI, but how to run it reliably across an entire operation without losing visibility or governance.
Voice and Messaging on One Platform
Voice AI extends Quiq’s existing messaging-based platform into real-time phone conversations. Customers can move between voice and digital channels without having to repeat themselves, because both sides of the interaction draw from the same context.
When a conversation needs to be escalated to a human agent, that agent receives the full interaction history, regardless of which channel the customer started on. Every interaction, whether handled by AI or a person, follows the same configurable guardrails that the organisation sets up once and applies everywhere.
The move into voice follows a growing push across the CX industry to bring AI into phone-based support, as companies recognise that digital channels alone cannot replace the phone for complex or sensitive issues.
Quiq says it already has clients running this model in production. In one case, a global retail organisation operates a single AI agent that supports four brands across seven countries and four communication channels at the same time, adapting to each brand’s voice, each market’s language, and each customer’s history in real time.
Why the Pilot-to-Production Transition Is Proving Difficult
According to Gartner research published earlier this year, 91% of customer service leaders reported executive pressure to implement AI in 2026, and nearly 80% of organisations plan to move agents into more complex roles as AI takes over routine tasks. The appetite for AI is not in question, but the infrastructure to support it at scale often is.
Most AI tools in customer experience were built to solve one problem in one channel. A chatbot handles FAQ enquiries on a website; a voicebot manages simple call routing; an assistant helps agents draft replies. These tools work in isolation, but they tend to fall apart when organisations try to connect them into a single, coherent experience that maintains context, enforces brand standards, and stays transparent enough for operational teams to trust.
Quiq’s platform brings AI agents, human agents, voice, and messaging together into a single system where context flows between every touchpoint. Rather than asking enterprises to simplify their operations to fit the technology, the platform handles the complexity that real-world deployments involve, including multiple brands, languages, compliance rules, and communication channels all running at the same time.
A Rebrand that Follows the Product
Alongside the product updates, Quiq has introduced a new brand identity that it describes as a more accurate representation of what the platform actually does. The company’s CMO, Jen Grant, framed the challenge in practical terms: “Customers expect interactions to feel simple, but delivering that in real-world operations is incredibly complex. 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.”
The distinction between surface simplicity and backend complexity is that many CX teams building with no-code AI agent platforms are now learning to appreciate. The platforms that hold up in production tend to be the ones that manage orchestration, governance, and multi-channel coordination behind the scenes, rather than those that merely make it easy to launch a single bot.
Quiq says it will continue investing in AI performance visibility, better coordination between AI and human agents, and more consistent execution across every customer interaction.
