ManageEngine, a division of Zoho and provider of enterprise IT management solutions, has launched Zia Agents, the company’s proprietary AI-powered autonomous agent, across its digital enterprise management suite.
Built within a secure and privacy-compliant framework, these agents can orchestrate and execute tasks without the need for intervention.
The rollout of Zia Agents follows the increasing need for AI-driven and integrated IT operations felt by South African organisations and is aimed at addressing the growing complexity of hybrid environments, strengthening cybersecurity resilience, and improving operational efficiency. This momentum has positioned South Africa as a strategic growth market for ManageEngine, which has recorded a 20% YoY growth in new customers, serving over 6 000 customers in the country to date.
“The frontier models are great for all-purpose use but are not often efficient for specific areas like enterprise IT. We take great care in building AI technology that is not only purpose-built but also provides value in terms of cost and long-term use. We are excited to bring autonomous AI capabilities to our offerings and provide a reliable platform for our customers to achieve efficient outcomes,” says Rajesh Ganesan, CEO of ManageEngine.
Key highlights of ManageEngine’s autonomous AI capabilities include:
- Prebuilt agents are deployed in a single click, while Zia Agent Studio enables customers to build and configure custom agents using natural language. Agents are fully customisable, with organisations retaining control over configuration, tools, and knowledge bases.
- Multi-agent orchestration allows a master agent to coordinate specialised subagents, ensuring complex workflows are executed seamlessly across IT and business systems.
- Customer data is not used to train AI models. Administrators can define strict behavioural guardrails, while built-in observability provides a full audit trail of agent activity.
- ManageEngine supports the standard Model Context Protocol, enabling interoperability with third-party large language models and agentic platforms.
With the launch of Zia Agents, the focus shifts from AI-enabled assistance to autonomous execution across IT service management, full-stack observability, endpoint management, and security operations. These agents are built on the same Zia agentic platform shared across the ManageEngine suite, making it easy to enable native cross-product intelligence without custom integration overhead.
In IT service management environments, organisations can deploy prebuilt agents such as L1 service desk specialists, PIR generators, and knowledge base article creators, or configure custom agents for functions spanning HR, IT, and business workflows. These agents operate within defined governance guardrails, drawing on contextual knowledge to execute tasks from end to end and coordinate through a master agent where required.
Across IT operations and security, Zia Agents introduces an execution layer on top of existing visibility tools. It supports faster incident diagnosis, root cause identification, and automated remediation while also enabling security teams to correlate alerts, investigate anomalies, and reduce false positives through cross-domain intelligence. Endpoint-focused agents further support compliance management, device diagnostics, and patch troubleshooting, with automated analysis designed to reduce manual intervention and improve response times.
As organisations accelerate adoption of AI-driven tools, data privacy and regulatory compliance remain central considerations for South African enterprises, as a result of the Protection of Personal Information Act setting clear requirements for data handling and processing.
ManageEngine’s approach to AI development is built on long-standing privacy principles and full-stack control across its platform, ensuring customer data remains within governed environments. This structure allows organisations to adopt autonomous agent capabilities while maintaining oversight, auditability, and compliance alignment.