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Today’s IT environments span legacy infrastructure, multiple cloud platforms, and edge systems—each producing fragmented data, inconsistent signals, and hidden points of failure. This scale brings opportunity, but also operational strain: fragmented visibility, overwhelming alert noise, and slower time to resolution.
With good reason, public and private sector organizations alike are moving beyond basic visibility, demanding hybrid observability that’s context-aware and action-oriented.
To meet this need, LogicMonitor and Infosys have partnered to integrate Edwin AI with Infosys AIOps Insights, part of the Infosys Cobalt suite. The collaboration combines LogicMonitor’s AI-driven hybrid observability platform with Infosys’ strength in automation and enterprise transformation.
“The scale and complexity of today’s enterprise IT environments demand a unified, AI-powered observability platform that can intelligently monitor, analyze, and automate across hybrid infrastructures,” said Michael Tarbet, Global Vice President, MSP & Channel, LogicMonitor. “Our collaboration with Infosys reflects our shared goal of equipping organizations with the tools they need to anticipate problems, reduce downtime, and keep mission-critical systems performing at their peak.”
TL;DR
The Challenge of Complex IT Environments
Enterprises today are operating in environments where no single system tells the whole story.
Critical infrastructure spans data centers, public and private clouds, and edge devices—all generating massive volumes of telemetry. But without a unified lens, teams are left stitching together siloed data, reacting to symptoms instead of solving root issues.
Legacy monitoring tools weren’t built for this level of complexity. What’s needed is an observability platform that both spans these hybrid environments and applies AI to interpret signals in real time, surface what matters, and drive faster, smarter decisions.
The LogicMonitor-Infosys Collaboration: Bringing Together AI-Powered Strengths
This collaboration integrates Edwin AI—the AI agent at the core of LogicMonitor’s hybrid observability platform—directly into Infosys AIOps Insights, part of the Infosys Cobalt cloud ecosystem.
As an agentic AIOps product, Edwin AI processes vast streams of observability data to detect patterns, identify anomalies, and surface root causes with context. And when paired with Infosys’ AIOps capabilities, the result is a smarter, more adaptive layer of IT operations—one that helps teams respond faster, reduce manual effort, and shift from reactive to proactive management.
The power of this partnership lies in the combination of domain depth and technological breadth. LogicMonitor brings its AI-powered, SaaS-based observability platform trusted by enterprises worldwide; Infosys brings deep expertise in enterprise transformation, AI-first consulting, and operational frameworks proven across industries. Together, the two are using IT complexity as a springboard for smarter decisions, faster innovation, and more resilient digital operations.
Unlocking Key Outcomes and Benefits
By integrating Edwin AI with Infosys AIOps Insights, enterprises gain access to a powerful toolset designed to streamline operations and deliver measurable results. Customers can reduce problem diagnosis and resolution time by up to 30%, allowing IT teams to resolve incidents faster and minimize service disruptions. Redundant alerts—a major source of noise and inefficiency—can be cut by 80% or more, freeing teams to focus on what truly requires attention.
Beyond faster triage, the integration provides a unified view across hybrid environments, enriched with persona-based insights tailored to roles, from infrastructure engineers to CIOs. With improved forecasting and signal correlation, IT teams can anticipate issues before they escalate, and make decisions grounded in data, not guesswork.
This collaboration strengthens operational stability and gives teams the insight they need to make timely, confident decisions in complex environments. In an era where digital experience is a competitive edge, the ability to anticipate, adapt, and act with precision is what sets leading organizations apart.
Real-World Impact: Sally Beauty’s Results
Sally Beauty Holdings offers a clear example of the impact this collaboration can deliver. By leveraging Infosys AIOps Insights, enabled through the LogicMonitor Envision platform, the company increased its proactive issue detection and reduced alert noise by 40%.
This improvement translated directly into minimized downtime and smoother day-to-day operations. The ability to detect and address issues before they escalated meant IT teams could focus on driving value rather than reacting to incidents. Infosys’ commitment to operational excellence played a key role in enabling these outcomes—demonstrating how strategic AI partnerships can drive measurable, business-critical improvements.
LogicMonitor + Infosys: Validated by Leaders, Built for Enterprise Impact
The collaboration between LogicMonitor and Infosys brings together two leaders in enterprise IT—pairing deep AI expertise with operational scale. For Infosys, the decision to integrate Edwin AI into its Cobalt suite reflects a strategic commitment to delivering modern, automation-ready observability to its global customer base. For LogicMonitor, it affirms our position as a trusted partner in AI-powered data center transformation, capable of delivering results in some of the most demanding enterprise environments.
“With our combined expertise in AI and automation, we’re redefining the observability landscape,” said Anant Adya, EVP at Infosys. “This partnership represents a significant step forward in enabling enterprises to adopt AI-first strategies that drive agility, resilience, and innovation.”
As organizations push toward more autonomous, resilient IT ecosystems, the LogicMonitor–Infosys relationship sets a new standard for what observability can—and should—deliver.
Bio: Margo Poda leads content strategy for Edwin AI at LogicMonitor. With a background in both enterprise tech and AI startups, she focuses on making complex topics clear, relevant, and worth reading—especially in a space where too much content sounds the same. She’s not here to hype AI; she’s here to help people understand what it can actually do.
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