UJET has announced the launch of its Agentic Experience Orchestration (AXO), a new category of AI software for customer experience.
This product launch aims to simplify the agent desktop, unify enterprise systems, and automate backend workflows to reduce operational complexity during customer interactions.
AXO is designed to address a long-standing operational challenge in contact centers, the gap between customer conversations and enterprise systems.
Speaking with CX Today, Vasili Triant, CEO at UJET, argues that many AI investment approaches have not addressed the core operational problem – agents still have to manually connect customer conversations with multiple disconnected enterprise systems during each interaction.
“Existing tools have been focused on automation for deflection/containment and human replacement, with AI assistants providing simple suggestions and next-best action guidance. CCaaS, CRM, and AI leaders all pushed an AI as a 'human replacement' narrative that hasn't panned out in reality.
“Meanwhile, no one has solved the actual fundamental problem facing today's contact centers, which is that human agents are forced to serve as the manual integration layer between real-time conversations and disconnected enterprise tools, using 4-10 tools on average.”
The Operational Friction Behind the Agent Desktop
Most contact centers are still operating on technology stacks assembled over many years, with new tools being added as companies expand channels, introduce automation, and integrate business systems.
UJET argues that human agents are serving as the “manual integration layer” between conversations and enterprise systems, often having to navigate multiple platforms during
“Human agents are forced to serve as the manual integration layer between real‑time conversations and disconnected enterprise tools, using four to ten tools on average,” Triant explained.
As a result, this structural design has created measurable inefficiencies, with agents using four to ten different applications during a single interaction, switching between tasks rather than solving customer issues, reducing productivity and resolution rates.
This issue persists as AI and automation initiatives in CX continue to focus on the front end of the interaction rather than the operational workflows behind it, with early investments prioritizing call deflection, self-service, and automated containment, not addressing the complexity agents face once a customer reaches a human representative.
The industry has made progress in improving channels, interfaces, and self-service experiences, however, the underlying operational reality of an agent has changed far less, functioning as the connective tissue between conversations and enterprise systems, causing continuous friction in contact center operations.
A Persistent AI Layer Designed to Simplify Agent Workflows
AXO is a persistent AI orchestration layer that spans the entire customer interaction journey, sitting between customer conversations and enterprise systems that support service operations.
It is designed to remove the burden from agents to move between disconnected tools while managing a live conversation, acting as a coordination layer that connects systems and manages work behind the scenes.

