LogicMonitor has expanded its Autonomous IT platform with new AI capabilities aimed at helping IT teams investigate and resolve problems with less manual work, and the updates are now available to businesses in Southeast Asia.

The update was announced at Elevate 2026, the company’s annual conference, and builds on its existing LogicMonitor Envision and Edwin AI products, along with digital experience monitoring from Catchpoint.

More data for AI to reason over

A key part of the update is broader telemetry: more application logs, cost signals and support for open standards such as OpenTelemetry, giving IT teams and AI systems more to work with when diagnosing an issue. LogicMonitor is also rolling out partition-level access controls to manage who, and what AI, can see which data.

“AI is most valuable in IT operations when it helps teams understand what matters and take the next step with confidence,” said Karthik Sj, chief AI officer at LogicMonitor. “Edwin AI combines investigation with specialised expertise for network, infrastructure and the IT workflows that keep the business moving.”

Edwin AI, the company’s AI investigation layer, now includes specialised agents that help identify the cause of an IT problem and recommend next steps. It can also be accessed through tools IT teams already use, including Slack, Microsoft Teams and ServiceNow, rather than requiring a separate console.

Governance built in as automation expands

LogicMonitor is also introducing AI access and governance controls, including a read-only interface that lets compatible AI clients query its monitoring data, alongside permissions, approvals and audit trails. The company said the goal is to let businesses automate more IT tasks gradually while keeping people in charge of decisions.

“Autonomous IT is not a switch customers flip overnight. It’s a progression from trusted visibility, to better decisions, to governed action,” said Prabhu Nakkeeran, chief technology officer at LogicMonitor. “Our AI-first platform gives teams the data and context they need to move forward at their own pace, while keeping people firmly in charge of policies, approvals, and operational risk.”

The company pointed to one of its largest customer wins, a US federal agency, whose business case projects a 182 per cent return on investment over three years, more than 170,000 hours of annual productivity gains, a 70 per cent reduction in downtime impact and a nine-month payback period.

“Agentic operations is the engineering response to the growing complexity inherent in networked digital estates,” said Shannon Kalvar, senior research director for AIOps at IDC. “Moving from visibility to more autonomous operations requires systems that can gather context and make bounded decisions at machine speed, while humans define the desired future state, establish governance and ensure the environment operates as intended.”