Discover how AIOps evolves from machine learning correlation to autonomous agentic AI for smarter IT operations.
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InsightOps / Use Cases
Root Cause Acceleration
Outages are investigated manually across dozens of tools. InsightOps correlates telemetry, dependencies, deployment events, and incident history to narrow likely causes in minutes — not hours.
↓30–50%
MTTR reduction
Automated
Incident timelines
AI-driven
Probable cause ID
The Pain
Manual RCA is the most expensive workflow in operations
When an outage hits, your most experienced engineers drop everything and begin a manual investigation: checking logs, checking metrics, checking dashboards, searching for recent changes, reviewing tickets, and building a timeline by hand. This process is slow, inconsistent, and depends heavily on institutional knowledge that walks out the door when people leave.
Today's RCA workflow Manual
- 1Alert fires — engineer opens monitoring tool0 min
- 2Check logs in a separate system5 min
- 3Check metrics and dashboards12 min
- 4Search for recent changes in ITSM20 min
- 5Check dependencies (if known)28 min
- 6Correlate findings mentally35 min
- 7Form hypothesis and test45+ min
With InsightOps AI-Assisted
- 1Alert fires — InsightOps auto-correlates across systems0 min
- 2Automated incident timeline generated0.5 min
- 3Recent changes, dependencies, and tickets surfaced1 min
- 4AI identifies probable root cause with evidence2 min
- 5Engineer validates and acts5–10 min
What InsightOps Changes
From manual investigation to automated root cause hypothesis
- ✓Automated incident timelines — every relevant event, change, and alert assembled chronologically
- ✓Cross-system correlation — infrastructure, application, cloud, and ITSM data connected in real time
- ✓Dependency-aware analysis — understands which services depend on which components
- ✓Change correlation — automatically flags recent deployments, config changes, and maintenance windows
- ✓Probable cause with confidence — AI-generated hypothesis with evidence and recommended actions
Incident Timeline — INC0041822
14:18Config change CR-4421 pushed to dal-sp-01
14:22CPU spike to 97% on dal-sp-01 (LogicMonitor)
14:24Packet drops detected on 2 downstream leaf switches
14:26BGP adjacency flap on dal-sp-01 ↔ dal-lf-03
14:30ServiceNow incident opened by NOC
Probable cause: Config change CR-4421 introduced a BGP policy misconfiguration. Recommendation: rollback CR-4421 and validate BGP state.
Expected Outcomes
This resonates strongly with operations leaders
30–50%
Reduction in MTTR
80%+
Faster time to probable cause
↓
Fewer cross-team handoffs
↑
Institutional knowledge retention
Stop paying your best engineers to be search engines
If your team spends the first 15 minutes of every outage gathering context instead of solving the problem, InsightOps can change that.
Guides
9 resources
Guides Resources
Learn how to deploy and integrate Aegis InsightOps architecture for intelligent automated remediation in production environments.
Observability, Monitoring & AIOps
technical architecture
AIOps
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Learn a proven framework to evaluate observability solutions that align with your AI infrastructure, scale requirements, and OpenTelemetry strategy.
Observability, Monitoring & AIOps
observability
OpenTelemetry
Read Guide →
Learn a proven decision framework to choose the right AIOps approach—commercial platforms, observability modules, or custom solutions—for your infrastructure needs.
Observability, Monitoring & AIOps
AIOps
decision framework
Read Guide →
Compare four leading AIOps platforms to identify which architecture and reasoning approach best fits your operational needs.
Observability, Monitoring & AIOps
AIOps comparison
monitoring platforms
Read Guide →
Unlock hidden value in your Splunk investment by optimizing data quality, detection content, and search performance.
Observability, Monitoring & AIOps
SIEM
Splunk
Read Guide →
Discover how the Build vs. Consume decision impacts observability ROI and platform selection for enterprise infrastructure.
Observability, Monitoring & AIOps
observability platforms
LogicMonitor
Read Guide →
Discover how observability transforms IT operations beyond traditional monitoring through MELT data and proactive insights.
Observability, Monitoring & AIOps
monitoring
observability
Read Guide →
Learn how to integrate observability, automation, and AIOps into a unified management fabric for hybrid IT environments.
Observability, Monitoring & AIOps
Infrastructure Management
Hybrid IT
Read Guide →