Agentic AIOps
AIOps that moves from signal to action
Great AIOps professionals connect observability, topology, ITSM, knowledge, and automation so teams can focus on the incidents that matter and let AI agents move work forward.
Event Intelligence groups related alerts and events into prioritized incidents with topology, metadata, and service context attached.
Ask Edwin AI what broke, why it happened, what changed, and what is affected. Get plain-language answers grounded in logs, metrics, topology, changes, and past incidents.
Find the right fix, generate a workflow when one does not exist, and execute remediation with approvals, audit logging, RBAC, and enterprise controls.
Built For Modern AIOps
The new operating model for AIOps professionals
Become the connective tissue between observability, automation, service owners, and the business.
See across every signal
Bring infrastructure, cloud, applications, logs, network, topology, tickets, and knowledge into one operational view. AIOps teams get the complete context they need without jumping between disconnected tools.
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Connect operational signals across hybrid IT.
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Detect anomalies and recurring patterns earlier.
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Reduce blind spots across teams, domains, and tools
Prioritize what matters
Use topology, service impact, and ownership context to understand blast radius before disruptions spread. Edwin AI helps teams see which incidents affect critical services, customers, regions, or revenue paths.
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Map alerts to services, apps, dependencies, and teams.
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Route incidents based on what broke and who can fix it.
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Focus responders on business impact, not raw alert volume.
Find root cause with evidence
Edwin AI checks logs, metrics, recent deployments, past incidents, topology, and knowledge at the same time to identify likely root cause and explain the supporting evidence.
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Generate plain-language incident summaries.
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Highlight relevant logs, changes, timelines, and impact.
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Preserve expert knowledge so every responder can act with confidence.
Move from recommendation to resolution
AI Automation helps AIOps teams discover existing playbooks, generate new workflows, and execute remediation through governed controls. Teams can act faster while keeping approvals, audit trails, and rollback paths in place.
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Find or generate the right automation for recurring issues.
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Execute fixes through enterprise guardrails.
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Validate outcomes before closing the loop.
Give AIOps teams a single source of operational truth
Give AIOps teams one shared operational view, using Edwin AI to connect alerts, events, topology, logs, tickets, and knowledge so they can understand what changed, why it matters, and what to do next
Modern AIOps so you can lead with confidence
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Eliminate silos Give cloud, infrastructure, network, application, and service teams the same source of truth so they can respond together instead of trading alerts.
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Reduce time to action Correlate related alerts, summarize incidents, identify likely root cause, and move responders toward the next best action faster.
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Enable every responder Surface documentation, runbooks, previous incidents, and expert knowledge so junior and senior responders can make better decisions.
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Prove operational impact Track noise reduction, incident reduction, automation execution, MTTR improvements, and the business value of faster resolution.
Build the foundation for agentic operations
Cut through alert noise across your stack and surface the incidents that actually need attention before they escalate.
Let specialized AI agents investigate, triage, and recommend next steps so teams get root cause, business impact, and context without manual work.
Find the right fix, generate one when needed, and execute remediation through governance, approvals, and audit logging.
RESOURCES
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See only what you need, right when you need it. Immediate actionable alerts with our dynamic topology and out-of-the-box CloudOps capabilities.





