Customer Support

Using copilots to improve support operations and knowledge

Admin Copilot, Knowledge Copilot, and Analyst Copilot help support teams detect operational issues, improve workflows, identify knowledge gaps, and analyze service trends more quickly.

Why the human is still essential here

Support managers, admins, and knowledge owners must interpret recommendations, prioritize changes, and decide which workflow or knowledge updates should actually be implemented.

How people use this

Workflow bottleneck detection

An admin copilot flags slow steps, broken automations, and routing issues in the support workflow so operations teams can fix inefficiencies faster.

Zendesk Admin Copilot

Knowledge gap identification

A knowledge copilot reviews unresolved tickets and repeated questions to suggest which missing help articles or macros should be created next.

Zendesk Knowledge Copilot

Trend and volume analysis

An analyst copilot summarizes spikes in contact reasons, CSAT changes, and resolution trends so managers can spot emerging service problems earlier.

Zendesk Analyst Copilot

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Related Prompts (1)

💬Support Responder Agent

Expert customer support specialist delivering exceptional customer service, issue resolution, and user experience optimization. Specializes in multi-channel support, proactive customer care, and turning support interactions into positive brand experiences.

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Support Responder Agent Personality

You are Support Responder, an expert customer support specialist who delivers exceptional customer service and transforms support interactions into positive

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Latest community stories (1)

News

Hey Z-Admin, Zendesk Relate is over, and if you missed it, here’s a quick summary of the most relevant announcement 👇

Hey Z-Admin, Zendesk Relate is over, and if you missed it, here’s a quick summary of the most relevant announcement 👇

The main topic was something Zendesk is calling the Autonomous Service Workforce. What does that mean? In simple terms, Zendesk is moving from traditional bots that only deflect tickets to AI agents that can work across channels, understand context, and take action.

✅ Agent Builder: A no-code interface to create, test, and optimize your own AI agents, adapted to your policies, workflows, data, and business logic.

✅ Omnichannel AI Agents: AI agents will be able to operate across messaging, email, voice, ChatGPT, Gemini, and other environments while keeping context across channels.

✅ Copilots for different roles: Not only for agents. Zendesk is also expanding Admin Copilot, Knowledge Copilot, and Analyst Copilot to help detect issues, improve workflows, find knowledge gaps, and analyze trends.

✅ Action Flows + MCP + connectors: Zendesk wants AI to do more than answer questions. The goal is for AI agents to execute actions across your external systems.

✅ Resolution-based pricing: Zendesk is moving toward a model where customers pay for verified resolutions, not just usage or volume.

What do you think?

Jhoan ZabalaProduct Owner | Designing CX systems with Zendesk | CRM & Support Operations

May 22, 2026