Gartner Says 70% of Enterprises Will Use Agentic AI for Infrastructure Operations by 2029. Sensaka Helps Build the Operational Foundation

Gartner predicts that by 2029, 70% of enterprises will use agentic AI to operate IT infrastructure, moving IT operations from reactive troubleshooting toward proactive and predictive operations. Gartner also notes that this will be a major leap from today's early stage adoption, with one public report page citing adoption at less than 5% in 2025 and only 6% of organizations having the maturity to handle the shift.

This prediction matters because it changes the role of infrastructure and operations teams. I&O teams have traditionally been measured by how fast they detect, respond to, and resolve incidents. In the agentic AI era, the expectation moves higher. Infrastructure will need to sense risk earlier, understand context faster, recommend the next action, and in some cases execute remediation through controlled automation.

The challenge is that agentic AI cannot work well on top of fragmented, incomplete, or delayed operational data. An AI agent cannot safely diagnose a hardware risk if it cannot see the server component status. It cannot correlate a business slowdown with an infrastructure event if application, network, storage, server, and environmental data remain isolated. It cannot support autonomous remediation if there is no reliable governance layer, no audit trail, and no clear relationship between infrastructure resources and business services.

This is where Sensaka plays a practical role.

Sensaka: The Operational Foundation for Agentic AI

Sensaka is not just another monitoring layer. Its value is to give enterprises the operational foundation required before agentic AI can become useful in real infrastructure operations. Through products such as DCOS, iDCOS, and SmartBSM, Sensaka focuses on full stack visibility from hardware to business service, with strong capabilities in out of band hardware monitoring, multi vendor device management, GPU chassis monitoring, ITSM and CMDB integration, and business service mapping.

For many large enterprises, the AI journey in infrastructure will not begin with a fully autonomous agent. It begins with trustable data. Sensaka helps collect and normalize operational signals across servers, storage, network devices, security devices, power and environmental systems, operating systems, databases, middleware, applications, and business services. This turns infrastructure from a collection of disconnected tools into a more complete operational model.

The Maturity Gap

Gartner's prediction also highlights a maturity gap. The market may be moving quickly toward agentic AI, but most organizations are not yet ready. Gartner's public article says I&O leaders still face challenges such as budget constraints, integration complexity, and difficulty proving business value when adopting AI for infrastructure operations.

Sensaka helps address this gap in several concrete ways.

Sensaka Strengthens the Data Layer

Agentic AI needs accurate, real time infrastructure data. DCOS provides agentless out of band hardware monitoring through BMC interfaces, helping enterprises monitor hardware health even when the operating system is down or unreachable. This is important because infrastructure AI cannot depend only on in band software agents. When a server is hung, overloaded, or powered off, out of band visibility may be the only reliable source of truth.

Sensaka Improves Infrastructure Context

iDCOS connects monitoring with ITSM and CMDB workflows, making it easier to understand which device, component, rack, application, or business service is affected. This context is critical for AI because the same hardware alert can have different business impact depending on where the device sits in the service chain.

Sensaka Supports Human–AI Collaboration

Gartner describes agentic AI as a shift toward autonomous, goal driven systems in I&O, but enterprise adoption still requires governance, approvals, and human oversight. Sensaka's role is to help operators move from manual inspection and fragmented troubleshooting toward guided operations, where AI can assist with diagnosis, prioritization, recommendation, and eventually controlled execution.

Sensaka Helps Enterprises Consolidate Tools

One barrier to AI adoption in I&O is fragmented monitoring. AIOps and agentic AI are less effective when every team uses a separate tool and no one owns the end to end view. Sensaka's full stack approach gives organizations a clearer path to tool consolidation, reducing operational noise and improving the quality of AI decisions.

From Monitoring to Business Service Assurance

Sensaka also supports the move from infrastructure monitoring to business service assurance. SmartBSM maps infrastructure health to business service impact. This matters because AI driven I&O should not only answer, "Which device has a problem?" It should answer, "Which business service is at risk, what is the likely root cause, and what action should be taken next?"

A Warning About Agent Washing

The market discussion around agentic AI also carries a warning. Gartner has separately predicted that over 40% of agentic AI projects may be canceled by the end of 2027 because of rising cost, unclear business value, or weak risk controls. Reuters also reported Gartner's warning about "agent washing," where vendors label conventional automation as agentic AI without real autonomous capability.

That warning is important for Sensaka's positioning. The goal is not to claim that AI can replace operations teams. The stronger message is that AI needs a dependable operational base. Enterprises need high quality infrastructure data, cross domain correlation, clear asset relationships, controlled workflows, and auditable action. Sensaka provides that base.

Conclusion

In the agentic AI era, the winners will not simply be the companies that buy the most AI tools. They will be the companies that make their infrastructure understandable to AI. That means complete visibility, clean data, mapped dependencies, and operational governance.

Gartner's prediction points to a future where AI agents become part of daily infrastructure operations. Sensaka's role is to make that future operationally realistic. It helps enterprises move from isolated monitoring to unified infrastructure intelligence, from manual troubleshooting to assisted diagnosis, and from reactive operations to business aware, AI ready operations.

The conclusion is simple: agentic AI will change I&O, but it will not succeed without infrastructure truth. Sensaka helps provide that truth.

Sensaka DCOS, iDCOS, and SmartBSM provide the operational foundation for agentic AI in infrastructure operations. To see how Sensaka supports your AI-ready I&O strategy, contact us or request an online trial.