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.
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.
Zendesk improved AI Agent management by introducing a new channel manager UI for AI Agents Advanced, removing the need for Switchboard API use. It simplifies linking bots to channels, especially in mixed or transitional setups, but key inconsistencies between Essentials and Advanced remain.
At Relate 2025 Zendesk announced their new AI Agents with Adaptive Reasoning. These more powerful variants use a new third generation model that move AI Agents away from hand built flows towards more descriptive procedures. This article gives an overview of what's possible now.
This article contains two approaches of collecting language context from customers contacting your AI Agent, powered by Ultimate via the Zendesk Messaging Widget.
In this article I'll explore how we can interact Widget metadata in AI Agents Advanced replies, and update custom fields when we escalate to an agent.
In this article we'll dive into Zendesk's new AI Agent offering, and showing you how you can grow your automation with Quick Replies for the Help Center, AI Agent Essentials and the new Advanced offering.
In this article I'll dive into a way to use generative replies based on multiple data sources, while making sure your AI Agent uses your best sources first, before using secondary resources to fill in the gaps.
This article compares Zendesk AI Agents, including Bots and Copilot, to the Google Generative AI Agents whitepaper. It explores their features, use cases, strengths, and limitations, highlighting Zendesk’s CX-focused approach versus the whitepaper’s multi-domain flexibility.
Zendesk has a multi-layered messaging system integrating AI bots, APIs, and Sunshine Conversations. This article explores setting up Ultimate Bot for personalized interactions, accessing user data like WhatsApp numbers, and leveraging APIs to enhance conversational workflows.
