Automated Root Cause Analysis
Agentic AI accelerates root cause analysis correlating telemetry across applications, infrastructure, and services, reducing MTTR, preventing repeat incidents, and minimizing business disruption.
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90
%Faster RCA Completion
50
%Fewer Escalations
30
secIncident Narratives in Seconds
15
secGenAI-Powered Incident Conversations
The Challenge of Identifying Root Cause
Even with extensive monitoring data, finding the exact cause of incidents in modern distributed environments can be slow, resource-heavy, and error-prone.
Tools Operating in Silos
Metrics, logs, and traces operate in isolation, leaving teams to stitch together disconnected signals.
Complex Dependency Chains
Metrics, logs, and traces operate in isolation, leaving teams to stitch together disconnected signals.
Delayed Resolution
Manual investigation slows recovery, increases downtime, and prolongs customer impact.
Agentic AI That Identifies and Explains the Cause
Identifying root cause is faster with Agentic AI, which correlates telemetry in real time to create a clear incident narrative while Talk to Incident uses NLP to explain the issue in plain language, enabling quicker action, reducing MTTR, and minimizing outages.
Cross-Signal Correlation
Automatically links metrics, logs, events, and traces into a single, coherent timeline.
Causal Graph Analysis
Maps service dependencies to identify the precise failure point and its blast radius.
GenAI “Talk to Incident”
Converse with incidents using natural language queries and receive contextual, human-readable answers.
Direct Handoff to Resolution
Seamlessly integrates with Solution Recommendations to close the loop from RCA to execution.
From Detection to Understanding in Minutes
For Incident Response and IT Operations Teams
Faster, Smarter Investigation
- Correlates telemetry(Metrics, Logs, Events, Traces) from all tools into one incident timeline.
- Surfaces probable root cause with AI-driven confidence scoring.
- Enables GenAI-powered “Talk to Incident” for instant, plain-English insights.
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For SRE and Platform Engineering Teams
Complex Dependency Clarity
- Visualizes service call paths to expose bottlenecks and failure chains.
- Flags impacted upstream and downstream services.
- Links recurring patterns to prior RCA findings.
For Infrastructure and Cloud Teams
Infrastructure-Aware RCA
- Detects root cause at the infrastructure layer (VM, container, network).
- Correlates performance changes with deployment or config events.
- Highlights resource saturation or policy misconfigurations.
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Trusted by Leading Organizations
"Our RCA time went from 3 hours to under 15 minutes — the AI just tells us what happened."
"The ‘Talk to Incident’ feature changed how we work — no more searching dashboards for answers."
"Having cause and resolution linked in one system has eliminated rework and repeat outages."
FAQ
AIOps with Agentic AI turns complexity into resilience.
Learn how HEAL uses AIOps with Agentic AI to keep operations resilient and disruption-free