WORKFLOW AUTOMATION WITH AI
Edwin AI: AI Automation correlates alerts, identifies root causes, and executes governed remediation across your existing automation ecosystem, so incidents resolve before they escalate.
Edwin AI unifies metrics, events, logs, topology, and ITSM data to pinpoint root cause and blast radius before triggering any remediation.
Role-based controls, change windows, approval flows, and audit logs are embedded in every remediation, not bolted on afterward.
From root cause to verified resolution, Edwin AI executes workflows autonomously and validates fixes before closing tickets.
Customers report significant reductions in alert noise, MTTR, and after-hours disruptions, with data tied directly to SLA and uptime commitments
AI-generated workflows embed best practices and repeatable execution patterns, so small teams manage growing environments without proportional staffing increases.
Faster recovery and proactive remediation reduce operational risk and preserve the commitments your business depends on.
Automate & Orchestrate Your Network
AI Automation closes the loop from alert to fix. Edwin AI identifies root causes, finds or generates precise playbooks, and executes them safely—so issues resolve faster, downtime shrinks, and your engineers can focus on innovation.
Unify telemetry across your hybrid environment to find the real issue, not just noise.
Before generating anything new, Edwin AI searches for validated automations, surfacing existing Red Hat Ansible, Terraform, Rundeck workflows before generating anything new.
When no existing automation fits, AI builds one on the fly.
Edwin AI delivers remote execution and event-driven triggers across the full automation ecosystem, with RBAC and audit trails.
With Edwin AI, resolved incidents become reusable patterns; AI accuracy and automation coverage improve over time.
Edwin AI Integrations
Edwin AI connects with over 3,000 tools—spanning observability, APM, security, and CMDB—to turn disconnected data into real-time, actionable insight. Whether you’re managing legacy systems or hybrid cloud environments, Edwin brings it all together to speed up incident response and eliminate silos.
3000+
pre-built integrations across your full tech stack
100%
bi-directional sync with ITSM platforms like ServiceNow
Domain-specific AI
Edwin AI isn’t a generic chatbot or a thin wrapper on a public LLM. It is purpose-built for IT operations and trained on years of observability and incident data to deliver precise, trustworthy outcomes. Its models are tuned on real-world IT signals rather than general internet data, and its output is focused, avoiding hallucinations and surfacing only what matters to your team.
67%
ITSM incident reduction
Strategic AI partnership
LogicMonitor’s collaboration with IBM watsonx and Red Hat Ansible integrates AI-driven diagnosis, code generation, and enterprise-grade automation to deliver closed-loop incident response. From detection to resolution, the system prevents outages, shortens MTTR, and scales automation across hybrid environments.
85%
faster incident resolution
A commissioned study conducted by Forrester Consulting on behalf of LogicMonitor found that a composite organization achieved 313% ROI over with a 6 month or less payback with LogicMonitor Edwin AI.
313%
ROI
313%
ROI
Edwin AI’s AI Agents handle real-world complexity, turning system data into decisions that keep operations steady and teams focused.
GET ANSWERS
Get answers to common questions about AI Automation from Edwin AI.
AI Automation is a LogicMonitor solution that delivers self-healing IT operations. It uses agentic AIOps to automatically detect issues, perform root cause analysis, and trigger remediation workflows—reducing downtime and manual effort across hybrid and multi-cloud environments.
The platform combines three layers of automation: Edwin AI for contextual diagnosis, IBM watsonx Code Assistant for generating remediation playbooks, and Red Hat Ansible Automation Platform for secure execution. Together, these technologies close the loop from detection to resolution with audit trails and policy controls.
AI Automation helps IT teams cut through alert noise, shrink mean time to resolution (MTTR), and eliminate repetitive manual tasks. By automating incident response, enterprises gain stronger uptime, fewer after-hours escalations, and more time for engineers to focus on innovation.
Yes. All automation runs with enterprise-grade guardrails, including role-based access controls (RBAC), change windows, approvals, rollback mechanisms, and compliance logging. This ensures every automated fix is executed consistently and securely.
Edwin AI Resources
Legacy IT approaches can’t keep pace with today’s demands. Dive into expert guidance on applying agentic AIOps to reduce noise, accelerate resolution, and take control of complex environments.
