LogicMonitor + Catchpoint: Enter the New Era of Autonomous IT

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AUTONOMOUS IT

Autonomous IT That Keeps The Business Moving

Turn business intent into governed action across your IT environment and external dependencies to reduce disruption, lower operating costs, and protect the digital experiences that drive revenue.

BENEFITS

Operate with resilience, efficiency, and control

When IT can sense, decide, and act with guardrails, you stop running operations on adrenaline and start running them on intent.

  • Predictable reliability for revenue-critical services More uptime and steadier performance for the services the business depends on, protecting customer experience and revenue.
  • No blind spots, higher productivity Spend less time hunting for context and more time fixing what matters, reducing war rooms, escalations, and the operational drag that eats into EBITDA.
  • Governed automation at scale Faster execution with clear accountability, so you reduce operational risk while improving consistency across teams.

Build Autonomous IT
In Practical Steps

Unified Visibility
AI With Purpose
Governed Action
Closed-Loop Operations

See what matters across hybrid IT

Bring signals together across cloud, data center, and digital experience, so teams stop debating whose dashboard is right. When context is unified, prioritization gets sharper, and response gets faster especially during high-change moments.

Prioritize the work that moves the business

Use AI to cut through noise and focus attention on what impacts critical services. Instead of reacting to every alert, teams get clearer direction on what’s urgent, what’s related, and what to do next, before incidents escalate.

Automate with control

Scale automation safely with policy-based guardrails, so the right actions happen in the right situations, with visibility and accountability. You get speed where it’s safe and oversight where it’s required, without slowing teams down.

Detect. Decide. Act. Verify.

Autonomous IT is a tighter operational loop: detect meaningful change, decide the best next step, act, then validate outcomes. Over time, response becomes more consistent, less manual, and easier to scale across teams and services.

AI Agents for Autonomous IT

Turn intent into action

Edwin AI operationalizes autonomous IT. It unifies visibility across hybrid environments, identifies what impacts critical services, and executes automation within policy-based guardrails. Connecting detection, decision, and action, teams reduce disruption, lower operating costs, and protect revenue-driving digital experiences.

67%

ITSM incident reduction

88%

noise reduction

Trusted by customers and industry leaders

GET ANSWERS

FAQs

Get the answers to your top autonomous IT questions.

What is Autonomous IT?

Autonomous IT is an operating model where systems sense what’s happening, decide what matters, and take action within defined intent and policy guardrails. It reduces manual effort while improving reliability, efficiency, and control.

How does Autonomous IT work?

Autonomous IT connects signals (like metrics, logs, events, and service context) to a closed loop: detect → prioritize → act → verify. Actions follow policy, and outcomes are recorded to help teams continuously improve trust and performance.

How is Autonomous IT different from IT automation?

IT automation executes predefined tasks. Autonomous IT goes further by using context to choose the right next action and execute it within guardrails, making responses more consistent and scalable.

How is Autonomous IT different from AIOps?

AIOps helps reduce noise and correlate signals. Autonomous IT adds the “last mile”: governed decisions and controlled execution at the service level, with traceability so leaders can trust what happened and why.

Is Autonomous IT safe and compliant? What guardrails are used?

Autonomy depends on guardrails: policy-based permissions, approvals for higher-impact actions, full auditability, and the ability to validate outcomes and reverse course when needed. Autonomy should increase speed without increasing risk.

Will Autonomous IT work with our existing tools and workflows?

Yes. Autonomous IT should fit into the operating model you already run—integrating with incident and change processes, aligning to your ITSM workflows, and providing visibility into actions and outcomes so teams stay in control.

What outcomes should I expect to measure?

Typical outcomes include fewer customer-impacting incidents, faster time-to-triage, improved MTTR, reduced alert noise, higher productivity, and more consistent execution during change—metrics that tie directly to service reliability, cost-to-operate, and risk reduction.

How do teams get started with Autonomous IT?

Start with high-confidence use cases that build trust (visibility and prioritization, then governed automation), prove impact, and expand autonomy as policies mature. The goal is practical progress, not a big-bang transformation.

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