Unbabel Integrates with Zendesk to Empower Agents

New integration allows agents to communicate with customers in multiple languages

Unbabel Integrates with Zendesk to Empower Agents
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Published: July 13, 2021

Sandra Radlovački

Sandra Radlovački

Unbabel, an AI-powered Language Operations platform that helps businesses deliver multilingual support, announced it is the first translation partner to integrate into the Zendesk Agent Workspace. The new Unbabel Agent Workspace integration enables agents to communicate with customers in multiple languages instantly and seamlessly across channels.

The Zendesk Agent Workspace allows agents to provide seamless support without switching between dashboards or having customers repeat information. The new integration offers frictionless real-time translation, while Unbabel already has three integrations for Zendesk: Chat, Support, and Guide.

Chat and Support integrations for the Zendesk Agent Workspace make it easy for agents to translate any conversation without being restricted to the channel in which the customer initially made contact.

Edmund Ovington, Vice President of Strategic Alliances at Unbabel, said:

“This latest integration supports Unbabel’s mission of continuously optimizing agent performance and reliability, enabling a more omnichannel experience to help agents consolidate all the conversations with customers in a single place.”

“We are streamlining steps for facilitating the agent’s work while also empowering them to provide a superior and more personal customer support experience.”

Michelle Torres, Director, Technology Alliances at Zendesk, said:

“Global enterprise organizations that do business around the world and have multilingual customers need an easy way to understand and communicate.”

“Compatible with any digital support channel, we’re combining our conversation-focused agent workspace with Unbabel’s advanced augmented machine translation. Together, it allows agents to instantly service customers globally in their native language right within the agent’s existing toolset.”



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