The new products represent an important milestone in Q-nomy's strategy of helping organizations combine human service, automation, and AI within a single customer journey. Rather than focusing on individual interactions, Q-nomy's approach centers on orchestrating complete journeys that span customer engagement, scheduling, routing, service delivery, and follow-up.

AgentFlow extends the Q-Flow platform with AI-assisted journey capabilities, enabling organizations to incorporate AI agents into service workflows while maintaining seamless transitions between AI and human service.

QLM provides a flexible framework for integrating and managing large language models within enterprise service environments, allowing organizations to connect their preferred AI technologies to real-world customer journeys.

In addition, Chat Journey enables organizations to incorporate conversational interactions into customer journeys. Together, these additions expand the range of digital, assisted, and AI-powered experiences that can be created on the Q-Flow platform.

Together with Q-Flow's existing appointment management, queue management, and journey orchestration capabilities, AgentFlow and QLM create a foundation for hybrid AI-human customer journeys across digital, physical, and assisted service channels.

The new products will be presented at GITEX AI Europe 2026, with initial releases planned in the coming weeks.