- Zendesk’s AI agents extend to third-party platforms, including AI chatbots
- New framework ensures consistent context across all customer channels
- Voice AI agents now support over 60 languages and language switching
In addition to its MCP efforts, also announced at its annual Relate conference, Zendesk has expanded its agentic AI capabilities across multiple environments, including ChatGPT and Gemini, marking a fundamental shift not only to its own business model, but that of other companies as well.
We are currently experiencing an industry shift towards platform-agnostic experiences, where companies are now expected to meet customers where they are.
Instead of forcing customers into proprietary apps or support channels, companies are now seeking AI solutions that can work consistently across third-party ecosystems, including messaging apps, voice assistants and AI chatbots.
Meet customers where they are
This need is driven by changing consumer behavior, as President of Product, Engineering and AI Shashi Upadhyay noted: “You just want to go to Perplexity or Gemini … you don’t want to go to a website and search for it.”
The updates are designed to enable Zendesk AI agents to maintain context and continuity across customer interactions, no matter where the conversations begin.
This change reflects how customer service is rapidly evolving beyond traditional support tickets and standalone chatbots. Instead, companies are preparing for AI agents to follow customers across channels, devices and platforms seamlessly, retain memory, offer high-quality personalization and leverage organizational knowledge bases.
At the same time, the customer service giant announced expanded support for Voice AI Agents, including support for over 60 languages and switching languages mid-conversation without loss of context.
We already know that consumers are reaching out to chat interfaces like ChatGPT and Gemini as primary discovery interfaces, so OpenAI and Google are working to integrate product discovery and sales channels directly into the interfaces. Now support is also emerging as a key use case for chatbots, and companies are facing increasing pressure to ensure their services are available through these third parties while maintaining governance and brand consistency.
While vendors meeting customers at these third-party ecosystems is new in itself, the biggest payoff here is the underlying framework that enables these companies to aggregate interactions, regardless of platform, into constant context, helping to avoid repetitive conversations and poor support experiences.
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