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AI-Powered
IT Operations

Turn alert noise into resolved incidents — with AI that investigates, acts, and stays within the limits you set.
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Delegate Incident Response to AI, On Your Terms

Delegate ~90% of routine incident response to AI. Ask questions in plain language across your entire monitoring stack, get root cause in seconds, and let AI agents correlate, investigate, and resolve incidents with human-in-the-loop (HITL) governance—no matter how many tools you run.
  • 85% of L1/L2 incidents resolved autonomously
  • 20-30% reduced MTTR
  • ~70% alert noise eliminated
  • Consolidated incident-lifecycle knowledge base
  • Multi-Agent workflow orchestration
  • Multi-Agent investigation and remediation
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Full-Stack Observability & Event
Intelligence

Unify signals from every monitoring, logging, and tracing tool into one stream. AI reduces noise, correlates related events, and surfaces the incidents that matter — with the context to act on them.

Event Correlation & Root Cause Analysis

Turn alert storms into a handful of actionable incidents.
Correlate alerts and reduce noise
Get root cause analysis in seconds
Complete reasoning behind diagnosis

ITSM, CMDB & Incident Orchestration

Plug into the incident workflows you already run.
Bi-directional ITSM Plateform Integration
Automated ticketing, routing, and escalation
Intelligent incident triage and response

Runbook & Agentic Remediation

Codify what your best on-call engineers already know.
Repeatable remediation, executed consistently
Every action policy-bound, gated, and logged
Noise Reduction &
Anomaly Detection
Change Risk & Impact Analysis most outages start with a change
Predictive & Preventive Operations

Guide

Modernizing IT Operations with
Governed AI
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~70%

Alert Noise Eliminated
Collapse thousands of daily alerts into the few incidents that need a human

20 - 30%

Faster Mean Time to Resolution
Correlate, diagnose, and remediate in a fraction of the time.

85%

Of L1/L2 Incidents Resolved Autonomously
Hand routine incident response to AI – under governence your control.

Resolved 85% of L1/L2 Incidents Autonomously — Under Full Governance

Partnership Overview

An enterprise ITOps team ran more than twenty monitoring tools, each firing its own alerts. On-call was burning out and MTTR was climbing — but leadership wouldn’t approve AI that acted unsupervised in production.

Challenge

Alert storms buried real incidents. Root cause took hours of cross-tool triage, every minute of downtime added cost, and automation stalled on one objection—no trust in Al acting without oversight.

Implementation Highlight

Unified every signal into a single correlated incident stream, enriched with change and topology context. Governed automation resolved routine incidents autonomously while gating high-stakes actions for human approval—every action logged and reversible.

Impact Achieved

  • Resolved up to 85% of L1/L2 incidents autonomously, under human-in-the-loop governance.
  • Cut mean time to resolution by 20-30% through real-time correlation and root cause analysis.
  • Eliminated ~70% of alert noise, ending nightly triage of low-value alerts.
  • Prevented change-caused outages by catching high-risk changes before production.
  • Freed on-call engineers from routine tickets, reducing manual overhead by 40-60%.

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Ready to Power Smarter
IT Operations?

Built directly into the operations console, our AI copilot lets you ask, investigate, resolve, or launch Al agents
against any incident – all from a single conversational interface.
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About UnityOne AI ™

UnityOne AI™ is an agentic intelligence platform for ITOps management, comprising CERNE™, LUMI™, and VEKTOR™. CERNE™ replaces dozens of cloud management tools by unifying DCIM, AIOps, HCMP, FinOps, and GreenOps within a single AI-driven control plane. LUMI™, the AI copilot, provides contextual intelligence, operational recommendations, and workflow automation, while VEKTOR™ enables enterprises to provision, orchestrate, and scale AI factories with the lowest cost-to-serve. The UnityOne AI™ suite enables enterprises to simplify hybrid/multicloud operations, strengthen governance, optimize resource utilization, and accelerate transformation to AI-driven ITOps.

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