AI Agents
Zendesk AI Agents autonomously resolve tickets in messaging and email using adaptive reasoning. Dive into setup, intent handling, conversation flows, and real-world use cases where AI delivers speed and quality at scale.
Zendesk helps businesses build AI-ready knowledge bases that power faster, consistent, and personalized customer service. By connecting, governing, and optimizing knowledge, Zendesk enables AI Agents and Agent Copilot to automate routine queries and assist agents for better resolutions at scale.
Conversation Extensions enhance Zendesk AI Agents by embedding custom web views in conversations, enabling interactive UIs for complex tasks like bookings and refunds. They integrate metadata, support context-driven actions, and improve customer experience offering flexible, reusable solutions.
Explore Zendesk’s Resolution Platform in part 4 of our series, focusing on Data & Actions. Learn how to harness customer data, automate workflows, and design smart, reusable actions that empower AI Agents and agents to resolve tickets faster and smarter.
We're shifting from deterministic rules to agentic AI. While classic workflows provide consistency and rigid logic, agentic procedures adapt to human language and non-linear conversations. Modern CX thrives on a hybrid approach, blending the reliability of rules with the flexibility of AI.
Procedures turn your support processes into automated workflows. Use them with an AI Agent for full automation, or as Agent Copilot procedures to guide human agents. Document your processes, identify repetitive steps, and build procedures that close the gap between knowledge and action.
Zendesk’s classic email-based ticket lifecycle has evolved into a far more dynamic model shaped by messaging behaviour, conversation states, and AI Agents. This article explains how modern conversations starts and ends, and move between AI and human agents across the full ticket lifecycle.
Unlock memory-rich personalization with Zendesk's new Authentication Metadata. We explore how AI Agents can now natively verify users and access Support IDs without workarounds. Learn to use the new authenticated and zendeskId properties for secure, context-aware automation.
Zendesk AI Agents now handle multiple intents in a single customer message, resolving each question one by one across both messaging and email. This upgrade reduces failures, avoids unnecessary escalations, and delivers clearer, more complete responses with no setup required.
Customer care is shifting from ticket handling to resolution design. This article explains how Zendesk’s Resolution Platform—combining Agent Copilot, AI Agents, knowledge and context—helps teams build clearer, use-case-driven paths. Part one covers intent classification.
Zendesk expands generative replies to email, replacing static auto-replies with AI-crafted answers from Help Center content. Customers get faster resolutions, agents save time, and teams can evolve toward AI Agent Advanced for contextual, multi-source automation.
This article showcases a custom Zendesk AI Agent use case: enabling callback requests via Messaging. By combining Voice, API integrations, and phone validation, it bridges native gaps and lets customers request a call—fully automated, no agent needed to start.
Zendesk’s generative replies for email allow AI Agents to send tailored, inline responses to customer emails using Help Center and custom knowledge sources. Unlike static article suggestions, these smart replies automate support while preserving tone, pacing, and fallback options for complex issues.
