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The Gist
- Outcome-based AI. Zendesk replaces traditional bots with autonomous AI agents billed only on verified resolutions.
- Platform enhancements. No-code tools, copilots and workflow connectors streamline service automation.
- Enterprise impact. B2B leaders can expect better resolution quality, though benefits hinge on adoption and integration.
Zendesk on May 19 unveiled its Autonomous Service Workforce vision at its annual Relate conference in Denver. The strategy replaces deflection-based bots with specialized AI agents operating across messaging, email and voice — priced only on outcomes the company verifiably resolves.
At the center is the Zendesk Resolution Platform, trained on roughly 20 billion ticket interactions. According to company officials, the platform's Resolution Learning Loop captures insights from every interaction to close knowledge gaps and improve automated responses in real time.
The company said the approach addresses a common industry failure, where organizations have layered disconnected tools onto legacy workflows and prioritized ticket deflection over actual problem-solving.
Table of Contents
- Agent Builder: Custom AI Agents Without Code
- Omnichannel AI Agents Powered by Forethought Acquisition
- New Copilot Experiences Across Roles
- Quality Score Brings Continuous QA to Every Interaction
- Context Graph, Knowledge Graph Expansion and MCP Support
- Action Flows and Workflow Connectors
- Outcome-Based Pricing Expanded
- AI Agents That Work With You
- New Capabilities at a Glance
- Recent Zendesk News
- What Autonomous AI Platforms Deliver
- Zendesk Background
Agent Builder: Custom AI Agents Without Code
A centerpiece of the Relate announcements is Agent Builder, a no-code interface that allows customer service teams to build, test, deploy and optimize custom AI agents tailored to their policies, workflows and business logic. The company says what once required months of custom development can now be completed in minutes. Agent Builder is currently in early access.
The tool is designed to automate complex front-, middle- and back-office service work while maintaining governance and oversight from a single control plane, according to Zendesk.
Omnichannel AI Agents Powered by Forethought Acquisition
Zendesk AI Agents now operate across messaging, email and voice with shared context maintained across interactions. The expanded agent capabilities were built in part through Zendesk's acquisition of Forethought and are designed to function both inside and outside the Zendesk platform, the company says.
Voice AI Agents — slated for general availability later this quarter — now support more than 60 languages and can switch languages mid-conversation while maintaining full context and continuity. The voice offering is powered by Amazon Connect.
Zendesk also announced fully autonomous AI Agents for Employee Service, purpose-built for internal support use cases. Powered by the company's Unleash acquisition, these agents operate within Slack and Microsoft Teams, search across enterprise systems and enforce source-level permissions. Employee Service AI Agents are expected in early access this summer.
New Copilot Experiences Across Roles
Zendesk announced updates across its Copilot portfolio targeting agents, administrators, knowledge teams and analysts:
- Agent Copilot is designed to connect to internal and external sources to generate procedures and, the company says, take action on at least 30% of tickets from day one.
- Admin Copilot, currently generally available, helps administrators identify operational issues, recommend fixes and apply workflow changes in real time.
- Knowledge Copilot, now in early access, identifies gaps, outdated content and inconsistencies based on real customer conversations.
- Analyst Copilot, also in early access, surfaces trends and root causes through what Zendesk describes as a new agentic analytics experience.
Quality Score Brings Continuous QA to Every Interaction
Zendesk announced Quality Score, a continuous quality measurement capability coming soon in early access for Suite Professional plans and above. The system analyzes 100% of human and AI interactions — rather than relying on manual spot checks — to give teams what the company describes as an objective, real-time view of service quality and performance gaps.
Context Graph, Knowledge Graph Expansion and MCP Support
The company introduced Context Graph, an operational memory layer that captures past analyses, agentic reasoning and performance context to improve future recommendations within the agentic analytics experience. Context Graph is currently in early access.
Zendesk also expanded its Knowledge Graph connectors — now generally available — adding support for SharePoint, Google Drive, Notion, Guru, Contentful, Document360 and additional sources.
On the integration front, Zendesk announced support for Model Context Protocol (MCP) in two directions. The MCP Client, in early access, allows AI Agents and Agent Copilot to connect to external systems and automatically expand their capabilities as new MCP tools are added. The MCP Server, expected in early access this summer, will allow businesses to connect Zendesk tickets, knowledge and other data to external AI systems in a governed way.
Action Flows and Workflow Connectors
Zendesk announced Action Flows for AI Agents, currently in early access, enabling teams to build integrated workflows directly inside Action Builder. The company also announced a library of 40 prebuilt workflow connectors for systems including Okta, Claude and OneDrive, with more than 100 additional app integrations planned by year-end, according to Zendesk.
Outcome-Based Pricing Expanded
Zendesk is expanding its outcome-based pricing model, under which customers pay only for resolutions the company says are verifiably confirmed — both by the AI agent completing the interaction and independently validated by a dedicated AI evaluation model. The company says spam and routine exchanges are excluded from billable resolutions.
CEO Tom Eggemeier framed the announcements as a broader industry inflection point. "The era of the chatbot — the era of frustration and deflection — is over," he said. "We are entering the age of the autonomous service workforce."
AI Agents That Work With You
We believe the day is coming when every great business will be powered by specialized AI agents that don't just work for you, but work with you. 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 mission is to put the power to create 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 not just giving you a tool; we are giving you the future of work.
- Tom Eggemeier, CEO
Zendesk
New Capabilities at a Glance
| Capability | Description |
|---|---|
| Agent Builder | No-code tool to build and deploy custom AI agents |
| Expanded AI Agents | Operate across messaging, email and voice; 60+ languages |
| Agent Copilot | Aims to act on 30% of tickets from day one |
| Action Flows | Workflow orchestration for AI agents inside Action Builder |
| Outcome-based pricing | Charges only for verified, end-to-end resolved outcomes |
Recent Zendesk News
Zendesk has executed a rapid, acquisition-driven transformation since early 2024, pivoting from a ticketing platform to an autonomous AI in contact centers company. The foundation began with Klaus (January 2024) for AI-driven quality management and Ultimate (March 2024) for service automation, followed by Local Measure (May 2025) for CCaaS and voice and HyperArc (July 2025) for generative AI analytics.
In December 2025, Zendesk acquired Unleash, adding permission-based retrieval-augmented generation (RAG) search across 70-plus content sources. On March 11, Zendesk announced the acquisition of Forethought, whose self-learning agents extend autonomous resolution across chat, email and voice.
Zendesk reported nearly 20,000 AI customers and $200 million in AI annual recurring revenue (ARR) in 2025, with its Voice AI Agents claiming the ability to resolve 80% of tickets without human intervention.
What Autonomous AI Platforms Deliver
Enterprise software vendors are converging on a shared architecture: AI agents that execute full customer service workflows, not just route tickets or surface answers.
Orchestration & Agent Collaboration
Genesys built its approach around native agent-to-agent collaboration and Model Context Protocol (MCP) connectors that trigger workflows across enterprise ecosystems. Its Copilot suite uses modular AI Skills configured in AI Studio, letting copilots act semi-autonomously based on intent and permissions.
Specialized Agents & No-Code Tooling
ServiceNow's Autonomous CRM platform, launched May 5, fields industry-specific AI workflows for government, finance, telco, healthcare and retail. ServiceNow said the platform resolves more than 100 million customer cases monthly.
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Governance & Responsible Autonomy
Scale without control remains a central concern. IDC analyst Hayley Sutherland noted that built-in guardrails and orchestration can help organizations unlock AI-driven experiences without sacrificing trust, a factor that grows more important under frameworks such as the EU AI Act.
Productivity Gains & ROI
Organizations implementing autonomous AI systems reported a 28% improvement in issue resolution time and a 19% increase in first-contact resolution rates. Gartner predicted that by 2029, agentic AI will independently handle 80% of routine contact center inquiries, cutting operational costs by 30%.
Zendesk Background
Founded in 2007 in Copenhagen, Zendesk serves mid-market and enterprise organizations modernizing customer experience. Its customer base includes more than 100,000 brands across retail, finance, travel and insurance.
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