Introducing Zia GenAI: Zoho's Native Generative AI for Zoho Desk

Introducing Zia GenAI: Zoho's Native Generative AI for Zoho Desk

Hello everyone,

Notes
Note: We have updated this announcement on 13th March 2025.
As of 7th March 2025, the following name changes are made with respect to Zia. 
  • Zia GenAI is updated as Zia 
  • Zia Powered by GPT is updated as Generative AI
  • Native Generative AI is updated as Open Source Models 

AlertZia is available on Early Access for Zoho Desk Enterprise subscribers. Kindly fill out this Registration Form to request early access.

We are excited to announce the Beta release of Zia Native Generative AI in Zoho Desk, now available through our Early Access program. This model is designed to enhance the efficiency and quality of customer support, and we are inviting you to experience it firsthand. 

Info

Important notes

  • Zia is currently available in AU, EU, US, and India data centers.
  • Zia currently supports 13 languages - English, Spanish, German, Russian, French, Portuguese, Italian, Dutch, Danish, Swedish, Hindi, Arabic, Hebrew. We are actively working on expanding language support even further.


In the fast-paced world of customer support, efficiency, accuracy, and personalization are crucial. With this in mind, we're introducing Zia GenAI in Zoho Desk. While AI is already a key player in the service industry, Zia stands out by leveraging native genAI models to address specific challenges, such as:

  • High response times
  • Repetitive nature of routine queries
  • Inconsistent responses across agents
  • Limited contextual understanding of customer issues
  • Difficulty of extracting actionable insights from vast amounts of customer data

By tackling these challenges, Zia helps support teams deliver faster, accurate, and personalized customer experiences.


Zia's advanced AI capabilities

Building on the foundation of Zia’s earlier tools—such as sentiment analysis for understanding customer emotions, keyword tagging for better ticket organization, and anomaly prediction for identifying irregular patterns—Zia takes these capabilities to the next level. It offers a more sophisticated contextual grasp of customer interactions, enabling it to provide highly relevant and actionable responses. By streamlining routine tasks and enhancing response quality, Zia empowers agents to focus on more complex customer needs and elevate the overall support experience.

Zia's generative skills

  • Contextual ticket summaries

    Zia     provides concise summaries of incoming inquiries and previous conversations within a ticket. Agents can choose from different options, including recent, initial, or multiple ticket conversations (up to five), which cover all types of interactions—such as incoming, outgoing, forwarded, and public comments. This enables agents to quickly grasp the context and history of complex tickets, which ensures they can deliver informed, relevant, and efficient responses without having to read through lengthy ticket histories.

    For example, if an agent is handling a long-running issue, Zia can generate a summary of the latest ticket conversations or earlier interactions within the same ticket, helping the agent provide a more precise response while saving time.




  • Efficient responses with AI assistance

    Zia analyzes customer inquiries and drafts responses based on the information available in the knowledge base articles. Whether it’s addressing policy-related questions or providing troubleshooting guides, agents can resolve issues faster.

    For example, a ticket enquiring about a refund for a recently purchased item can be answered without an agent's intervention. Zia can analyze the tone of the email and draft a formal response with details on how to go about with the refund based on its analysis of the KB articles. It can also include the links to the company's refund policy and commonly asked questions related to the customer's request.


  • Personalized and empathetic interactions

    By analyzing the tone and sentiment, Zia helps agents draft responses that align with the emotional context of the conversation. Whether the situation requires an apology for a delay or a friendly response to a simple query, Zia ensures every interaction feels personalized.

    For example, a customer reporting a delayed refund should receive an empathetic and prompt response. For routine inquiries, Zia will be more likely to suggest a friendly, concise reply.




  • Customizable response lengths

    Zia enable agents to tailor the length of responses to suit customer needs. Whether a customer requires an in-depth explanation or a brief summary, agents can choose the most appropriate format to ensure clarity and efficiency.

    For example, when a customer reports a technical error in the software, Zia can generate a detailed explanation to help resolve the issue or provide a concise troubleshooting guide based on the severity of the problem.



  • Proactive knowledge base growth

    Zia flags gaps in the knowledge base by identifying customer issues without documented solutions. This helps organizations continuously improve their knowledge repository, equipping teams to address similar issues more effectively in the future.

    For example, if an agent encounters a unique issue without an existing solution, Zia notifies the team to create a new knowledge base article, helping future agents resolve similar problems more effectively.



  • Data privacy and security

    Zia adheres to strict GDPR guidelines to ensure customer information remains secure. All responses are generated solely from the company’s knowledge base, and ticket data is not used for training purposes.

For more information on Zia and how to configure them, please refer to the detailed help documentation on 


To enable this feature in your Zoho Desk account, please don't forget to fill out the registration form to request access. We look forward to empowering your support team with the power of AI.


For any questions or assistance, the support team is available via email at support@zohodesk.com, or queries and feedback can be left in the comment section below.


Thank you, and have a great day!


Regards,

Varsha P

Zoho Desk - User Education

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