Zendesk has introduced its “Autonomous Service Workforce” strategy alongside a range of AI-focused updates to its customer and employee service platform.
“The era of the chatbot – the era of frustration and deflection – is over. We are entering the age of the Autonomous Service Workforce,” said Tom Eggemeier, CEO, Zendesk.
“We believe every business will soon run on specialized 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.”
Announced at the company’s Relate conference, the initiative centres on AI agents designed to work across communication channels and service workflows, with pricing based on completed resolutions rather than interaction volume.
At the core of the update is the Zendesk Resolution Platform, which combines customer data, workflows, knowledge management, and AI capabilities into a unified system. The platform uses insights from previous service interactions to improve automated responses and identify knowledge gaps over time.
New features include a no-code Agent Builder for creating custom AI agents, expanded omnichannel AI support across messaging, voice, email, and external AI platforms, and autonomous AI agents for internal employee service.
Zendesk also introduced new Copilot tools for agents, administrators, analysts, and knowledge teams, alongside continuous quality monitoring through a new Quality Score capability.
Additional updates include workflow automation tools, integrations with external systems, multilingual voice AI support, and expanded knowledge connectors.
“What’s compelling about Zendesk’s direction is that it recognizes a core truth about service: automation on its own is not enough,” said Daniel Newman, CEO, Futurum Research.
“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.”
The company also announced broader support for Model Context Protocol (MCP) to help AI agents securely interact with external systems and data sources.
Author: Robyn Coppell
Reviewed by: Jo Robinson
Published On: 19th May 2026
Read more about - Latest News, Zendesk
