Reimagine IT operations
with AI agents

Zia Agents is included as part of the ManageEngine product suite, and there is no separate AI license, no consumption-based pricing, and no mandatory add-ons to unlock core capabilities. Organizations already using ManageEngine products can access Zia Agents without additional costs. This is a deliberate design choice: rather than treating AI as a premium tier, ManageEngine builds agentic AI capabilities directly into the products your IT team already uses.

The existing Zia AI assistant is a conversational tool, it responds to queries, surfaces information, and provides recommendations. Zia Agents goes significantly further. These are autonomous AI agents that don't just recommend actions, they execute them. A Zia Agent can triage a ticket end-to-end, correlate security alerts into an attack chain, diagnose a patch deployment failure, or onboard a new employee across multiple systems, all without waiting for a human to approve each step. The shift is from AI that assists to AI that remediates.

Zia Agents is purpose-built to operate across all major IT functions. In IT service management, agents handle ticket triage, resolution, knowledge article generation, and post-incident reviews. In observability, agents perform root cause analysis, correlate infrastructure alerts, and surface remediation steps. In security operations, agents automate alert correlation, user activity reviews, and threat investigations. In endpoint operations, agents diagnose device issues, troubleshoot patch failures, and triage EDR events. Organizations can deploy agents in one area first and expand across functions as needed.

Prebuilt Zia Agents from the Agent Store can be deployed in minutes. Since Zia Agents are already embedded into the ManageEngine suite, there is no separate AI platform to set up, no lengthy implementation cycle, and no additional infrastructure to provision. You browse the Agent Store, select the agent relevant to your use case, configure it to your environment, and it is ready to operate. For organizations that need custom agents, Zia Agent Studio empowers teams to build, test, and deploy agents without writing code.This flexibility ensures Zia Agents can be implemented for a specific function and developed for others at a pace that works best for the organization.

Yes. Zia Agents are open by design and support MCP-compatible integrations, enabling them to connect to third-party tools, enterprise applications, and external APIs. Through ManageEngine's MCP integration, your preferred large language model (LLM) or external AI platform, including tools like ChatGPT or Claude, can connect directly to ManageEngine's data models and action layer. This means Zia Agents can pull context from and take action across your broader IT ecosystem, not just within ManageEngine products.

Zia Agents run on Zia LLM by default, Zoho's hosted large language models purpose-built for business and IT use cases, processed in a secure private environment. Organizations that prefer to use their own LLM or a third-party model can do so. Zia Agents support bring-your-own-LLM configurations through Model Context Protocol, identified as MCP-compatible integrations, that enable you to connect external AI platforms or internal models directly to ManageEngine's data and action layer. This gives IT teams flexibility over their AI infrastructure without sacrificing the native integration Zia Agents provide.

Model Context Protocol (MCP) is an open standard that allows AI models and agents to connect to external tools, data sources, and APIs in a standardized way. ManageEngine uses MCP to make Zia Agents open and interoperable, so your preferred LLM, whether an internal model or a third-party platform like ChatGPT or Claude, can connect directly to ManageEngine's APIs, data models, and action layer. This means natural language instructions can be translated into real actions within your IT environment. ManageEngine's MCP integration also allows Zia Agents to reach beyond the ManageEngine suite and interact with the broader enterprise tool ecosystem.

Yes, granular access control is a core part of how Zia Agents are governed. When configuring an agent in Zia Agent Studio, administrators define exactly which tools, APIs, and data sources the agent can connect to, and what actions it is permitted to take. Configurable guardrails ensure agents operate within defined boundaries and escalate to humans when a situation falls outside those boundaries. This means IT teams maintain full control over agent behavior even as agents work autonomously across IT operations.

Zia Agents are built with enterprise-grade governance and control at their core. Every agent action is logged and every decision is traceable through built-in auditability. Administrators can define configurable guardrails that set clear boundaries on what an agent can and cannot do, which systems it can access, what actions it can execute, and when it must escalate to a human. Agents are also tested against real-world scenarios in Zia Agent Studio before deployment. The governance architecture is documented and auditable, not abstracted behind a black box.