Teams | Collaboration | Customer Service | Project Management

Evaluate AI agents using Zendesk QA scorecards, spotlights, and dashboards | What's New

As AI agents handle more customer conversations, knowing how they perform matters. AI Agent QA lets teams evaluate AI agent conversations using the same QA tools as human agents. Automatically or manually review bot interactions with scorecards, track results in dashboards, and monitor key metrics like escalations to refine AI workflows and improve support quality. Zendesk makes customer and employee service better. We build software to meet customer and employee needs, set your team up for success, and keep your business in sync.

Customer Service Outsourcing: Strategic Advantages, Challenges, and Best Practices for Business Growth

Customer service outsourcing has become a strategic imperative for businesses of all sizes seeking to optimize operational efficiency, reduce costs, and focus on core competencies. In an increasingly competitive global marketplace, companies are leveraging specialized service providers to handle customer interactions across multiple channels, from traditional phone support to modern digital platforms.

WFM Forecast Scenarios (EAP): Test, activate multiple forecasts for smarter staffing | What's New

Planning staffing around campaigns, holidays, or unexpected volume shifts is hard with a single forecast. WFM Forecast Scenarios let you create and compare multiple forecasts for each workstream. Adjust algorithms, historical data, and volume assumptions to test different scenarios—then activate the one that best fits your staffing needs without disrupting existing forecasts. Zendesk makes customer and employee service better. We build software to meet customer and employee needs, set your team up for success, and keep your business in sync.

How Businesses Are Transforming Support with AI-Without Losing the Human Touch

What if every customer could feel truly seen in AI customer support—not just recognized by a ticket number or automated reply, but understood in context, intent, and history? For many businesses, this question sits at the heart of modern customer experience. AI customer support has evolved far beyond basic chatbots and canned responses. Today, it represents an opportunity to combine intelligence, speed, and personalization in ways that were previously impossible at scale.

Top AI Chatbots to Transform Customer Support in 2026

Choosing the best AI chatbots for customer service in 2026 comes down to one thing: how well they blend knowledge-grounded answers with seamless help desk and CRM workflows. According to Gartner, in 2025, 80% of companies were already using — or planning to use — chatbots in their customer service strategy. The AI chatbot market in 2026 favors platforms that deflect routine questions, route complex issues to the right agent, and learn from every interaction to lift CSAT and reduce costs.

Knowledge connector for Confluence: Bring content into Zendesk to power support | What's New

Many teams already have valuable knowledge stored in Confluence — but it’s often disconnected from support experiences. The Knowledge connector for Confluence lets you bring existing Confluence content into Zendesk so it can be used across help center search, Agent Workspace, and AI-powered responses. This means customers, agents, and AI agents can surface answers from Confluence without duplicating content in Zendesk.