Zoho has detailed a practical three-stage approach for organizations to begin their agentic AI journey, as explained in a blog post published on July 3, 2026. The guidance builds on prior posts about the importance of a data foundation for AI agents and how to construct it using Zoho's tools such as Zoho Analytics, Zoho DataPrep, Ask Zia, and Zia Agent Studio.
The first stage encourages users to leverage existing resources by activating Ask Zia, Zoho Analytics’ natural language query feature, across workspaces. This helps teams familiarize themselves with AI-driven data interaction, identify gaps in data models through inaccurate responses, and foster organizational buy-in. The second stage involves expanding data connections from a few sources to around ten, integrating data from Zoho applications and key third-party platforms to strengthen the data foundation.
This structured approach underscores the critical role of a unified data layer in enabling effective AI agents. By starting with familiar tools and progressively broadening data inputs, organizations can build confidence and capability in agentic AI. Zoho’s method aligns with broader industry trends emphasizing data quality and accessibility as prerequisites for successful AI deployment.
Zoho’s blog post, part four in its agentic data infrastructure series, offers actionable steps for enterprises aiming to harness AI agents. The series includes prior posts on why AI agents need a data foundation, what that foundation entails, and how to build it with Zoho’s analytics solutions.