Avaya and avatarin have extended their partnership to move AI-powered customer experience beyond the contact center into physical retail and service environments through a unified intelligence layer that connects agentic AI, robotic interfaces, and human agents across all touchpoints. The collaboration integrates Avaya Infinity with avatarin's One Intelligence™ platform, enabling seamless context-sharing across voice, chat, web, robotic interfaces, signage, and kiosks. Rather than treating these channels as isolated systems, the partnership creates a single problem-solving interface where a customer interaction can begin online or in-store and maintain full context as it moves between digital and physical spaces—whether that's a retail shopper transitioning from an AI robot to an in-store specialist or a traveler receiving multilingual support at an airport gate with their complete itinerary already loaded.
The strategic significance lies in addressing a gap that traditional contact center platforms have left largely unexamined: the moment when customer problems require physical presence, expert judgment, or real-time empathy in non-contact-center environments. With 55% of enterprise leaders expecting AI agents to drive ROI in customer service this year, the question becomes whether teams currently invested in Zendesk, Freshdesk, or Salesforce Service Cloud will need to expand their technology stacks to handle these physical-world scenarios, or whether those platforms will develop comparable capabilities. Avaya's move positions it as the orchestration layer for enterprises managing both digital and physical customer journeys, which could reshape how CX teams think about channel integration beyond the traditional omnichannel model.
For support leaders and CX consultants, this signals a maturation in how AI agents are deployed—moving from chatbot-in-a-silo thinking toward genuinely contextual handoffs where human agents inherit full interaction history regardless of whether the customer started with a robot, a kiosk, or a web form. The real operational challenge will be whether teams can manage the complexity of training human agents to work alongside physical AI interfaces and ensuring that context flows reliably across systems. This is less about technology capability and more about whether your team's workflows, knowledge management, and escalation protocols can actually support the frictionless handoffs these platforms promise.
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