At its Relate conference in Denver, Zendesk introduced what it calls an “Autonomous Service Workforce”, setting out a model for customer and employee support built around AI agents working across channels and priced on verified outcomes. The approach replaces standard deflection-based bots with agents designed to resolve issues across multiple service environments while operating within a single platform.
That platform is the Zendesk Resolution Platform, which the company said unifies data, intelligence, knowledge, workflows, and governance. Trained on roughly 20 billion ticket interactions, it runs through Zendesk’s Resolution Learning Loop, which captures insights from each interaction, identifies gaps in knowledge, and improves automated responses over time. Zendesk said the model is intended to address a common problem in enterprise service operations, where disconnected tools have been added to legacy processes without improving resolution quality.
Tom Eggemeier, CEO, Zendesk, said: “The era of the chatbot—the era of frustration and deflection—is over. We are entering the age of the autonomous service workforce. We believe every business will soon run on specialised AI agents that work alongside human experts as one unified team. These agents will be more than just code; they will be team members, held to the same high standards of accountability as any human. Our vision is to put the power to build this workforce into the hands of every enterprise, on one elegant platform. Whether those agents are crafted by Zendesk, by our partners, or by your own teams, they will all speak with one voice. We are providing a future where AI is the foundation, and human experts are the architects.”
The product releases span both automation and oversight. Zendesk introduced Agent Builder, a no-code interface for building and deploying custom AI agents, alongside expanded AI agents that operate across messaging, email, LLMs, and voice. The company also announced AI agents for employee service in Slack and Microsoft Teams, new Copilot tools for agents, administrators, knowledge teams, and analysts, plus Quality Score for continuous quality assurance.
Further updates include Context Graph, expanded Knowledge Graph connectors, Action Flows for AI agents, and support for Model Context Protocol. Zendesk also said it is broadening its outcome-based pricing model so customers are charged only when an interaction is resolved end-to-end and independently verified by a separate AI evaluation model, with spam and routine exchanges excluded.
Daniel Newman, CEO, Futurum Research, said: “What’s compelling about Zendesk’s direction is that it recognises a core truth about service: automation on its own is not enough. To improve the experience meaningfully, AI has to be part of a broader system that can connect context, take action, and evolve with the needs of the business. That’s the kind of approach that can help organizations build a more scalable and responsive support experience over time.” Zendesk said some products are available now, while others will enter general availability later this quarter, this summer, or in early access.
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