Zendesk Unveils Autonomous Support Workforce, Setting New Standards for Customer and Employee Support

Zendesk, Inc. has announced its new 'Autonomous Support Workforce' strategy and a suite of new features powered by the Zendesk Resolution Platform. This strategy shifts the focus from simple bot-based deflection to autonomous problem resolution across all channels. The announcement includes advanced AI agents for customer and employee service, no-code agent builders, and a new results-based pricing model.
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📋 Article Processing Timeline

  • 📰 Published: May 25, 2026 at 22:00
  • 🔍 Collected: May 25, 2026 at 13:31
  • 🤖 AI Analyzed: May 27, 2026 at 01:01 (35h 29m after Collected)
Zendesk, Inc. has unveiled its 'Autonomous Support Workforce' strategy alongside a series of new capabilities built on its core platform. Moving away from traditional bots focused on inquiry deflection, the newly introduced AI agents operate across all channels and use cases, with pricing based only on 'resolutions' that Zendesk can verify as successful. This initiative addresses the industry-wide challenge of fragmented tools and outdated workflows.

At the heart of this strategy is the Zendesk Resolution Platform, which integrates data, intelligence, knowledge, workflows, and governance. Trained on approximately 20 billion ticket interactions, the platform utilizes the Resolution Learning Loop™ to extract insights and continuously improve automated response accuracy in real-time.

Key highlights of the announcement include:

## Agent Builder and Custom Agents
The no-code Agent Builder allows companies to build, test, deploy, and optimize custom AI agents tailored to their unique business logic and policies. This helps automate complex front-, middle-, and back-office service tasks from a single control plane.

## Expansion of Zendesk AI Agents
These agents now operate across messaging, email, voice, and third-party AI platforms like ChatGPT and Gemini. Following the acquisition of Forethought, these agents can also work in external service environments. The new Zendesk MCP Server connects Zendesk data to external AI platforms for verified, personalized answers.

## Enhanced Voice AI Support
Supporting over 60 languages, the Voice AI agents can maintain full context even when switching languages mid-conversation. This strengthens Zendesk's CCaaS solution powered by Amazon Connect.

## AI Agents for Employee Service
Specifically built for IT Service Management (ITSM), these fully autonomous agents were enhanced by the acquisition of Unleash. They operate within tools like Slack and Microsoft Teams, applying source-level permissions to ensure secure information retrieval.

## Advanced Copilot Portfolio
- **Agent Copilot**: Generates procedures and is designed to take action on at least 30% of tickets from day one.
- **Admin Copilot**: Identifies operational issues and recommends or applies workflow changes in real-time.
- **Knowledge Copilot**: Detects gaps and contradictions in FAQ databases based on real customer conversations.
- **Analyst Copilot**: Helps analysts understand trends and root causes through agentic analytics.

## Quality Score
Automated quality measurement is now available for Suite Professional plans and above, analyzing 100% of human and AI interactions to provide an objective view of service quality.

FAQ

Zendesk Resolution Platformの特徴は何ですか?

約200億件のチケット対応データに基づいてトレーニングされており、Resolution Learning Loop™を通じてやり取りからインサイトを抽出、自動応答の精度をリアルタイムで継続的に向上させるプラットフォームです。

新しく発表されたエージェントビルダーで何ができますか?

ノーコードのインターフェースにより、企業が独自のポリシーやワークフロー、データに基づいたカスタムAIエージェントを構築、テスト、デプロイ、最適化することが可能です。

音声AIエージェントはどのような言語に対応していますか?

60以上の言語への多言語対応が可能で、会話の途中で言語が切り替わってもコンテキストを維持できます。Amazon Connectを活用したCCaaSソリューションを強化します。

従業員サービス向けAIエージェントにはどのような技術が統合されていますか?

買収したUnleashの技術により、SlackやMicrosoft Teams内で動作し、企業システムを横断して情報を検索できます。ソースレベルの権限管理も適用されます。

人間のチームを支援するCopilotにはどのような種類がありますか?

サポート担当者向けのAgent Copilot、管理者向けのAdmin Copilot、ナレッジ管理用のKnowledge Copilot、トレンド分析用のアナリストCopilotの4種類が展開されます。