Zendesk launches AI-driven autonomous service workforce

Zendesk has launched what it calls an Autonomous Service Workforce for customer and employee service, built around AI agents that operate across multiple service channels.

Resolution platform

The announcement centres on the Zendesk Resolution Platform, trained on roughly 20 billion ticket interactions. According to Zendesk, the platform uses a Resolution Learning Loop to draw insights from each interaction, update knowledge and improve automated responses in real time.

The launch marks a shift in how Zendesk is positioning its service software. Instead of relying on bots designed mainly to deflect customer queries, it wants businesses to use specialised AI agents that can handle a broader range of work across front, middle and back office tasks.

Among the main additions is Agent Builder, a no-code tool that allows organisations to create, test, deploy and adjust custom AI agents using their own policies, workflows, data and business logic. The tool is intended to give companies more direct control over how automated service processes are set up and governed.

Zendesk also expanded its AI Agents so they can operate across messaging, email, voice and external AI platforms including ChatGPT and Gemini. The agents maintain shared context across interactions, with Zendesk linking part of that broader functionality to its acquisition of Forethought.

Voice expansion

Voice is another area of expansion. Zendesk said its Voice AI Agents will support multi-brand and multilingual use across more than 60 languages, with the ability to switch languages during a conversation while maintaining context. The voice service forms part of its contact centre offering based on Amazon Connect.

For internal operations, Zendesk introduced autonomous AI agents for Employee Service. These tools are designed to work inside systems such as Slack and Microsoft Teams, while searching enterprise systems and applying source-level permissions so users receive only information they are authorised to see.

The company also outlined a broader set of AI tools for human staff, including Agent Copilot, Admin Copilot, Knowledge Copilot and Analyst Copilot, each aimed at different service or operational roles. Zendesk said the tools are intended to help service teams identify issues, generate procedures, spot knowledge gaps and analyse trends.

Quality control is another part of the update. Zendesk announced Quality Score, a feature it said measures 100% of both human and AI interactions to provide an automated view of service quality and highlight areas for improvement.

Workflow integration

It also introduced Context Graph, described as an operational memory layer that records previous analysis, agent reasoning and performance context to improve later recommendations. Alongside that, Zendesk expanded connectors for its Knowledge Graph to include sources such as SharePoint, Google Drive, Notion, Guru, Contentful and Document360.

Workflow integration is another element of the release. Zendesk said Action Flows for AI Agents lets teams build workflows for AI agents inside Action Builder, while a new library of 40 prebuilt connectors links to systems including Okta, Claude and OneDrive.

The company also announced support for Model Context Protocol through both client and server tools. Zendesk said this will let its AI Agents and Agent Copilot connect to outside systems, while also allowing businesses to make Zendesk tickets, knowledge and other data available to external AI systems in a governed way.

On pricing, Zendesk said it is extending an outcome-based model under which charges apply only when an issue is resolved and that resolution is independently verified by a separate AI evaluation model. Spam and routine exchanges would be excluded from billing.

Regional demand

"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.

"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," added Eggemeier.

"The shift to an Autonomous Service Workforce represents a turning point for businesses in Australia and New Zealand. In a market where consumer patience has collapsed, businesses can no longer afford to deflect; they must optimise for resolution. By deploying specialised AI agents that act as a true extension of human teams, businesses can deliver the instant, informed, and continuous experiences that prevent a single poor interaction from losing a customer for life. This isn't just about efficiency, it's about building a workforce that drives the lifelong loyalty required to thrive today," said Kellie Hackney.

"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 organisations build a more scalable and responsive support experience over time," said Daniel Newman.

"Across Asia, service is rarely a single-market problem. It is a multilingual, multi-modal and multi-journey challenge that looks very different in Singapore, the Philippines, Indonesia, Hong Kong, South Korea and beyond. As AI resets expectations for what good service should look like, the old model of scaling support linearly simply cannot keep up. The Zendesk Resolution Platform powers an autonomous service workforce that enables Asian enterprises to move beyond the trade-off between efficiency and service quality. It brings the precision, context continuity, and governance needed to deliver high-touch support at the pace the region now demands," added Bikram Mazumdar.