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From alert to root cause in minutes, not hours of log-trawling.

Root Cause AI

Analyzes logs, metrics, traces, and topology graphs using ML to automatically surface probable root causes within minutes of incident detection, drastically reducing mean-time-to-resolve (MTTR). Replaces the manual log-trawling and intuition-based debugging that defines incident response in complex distributed systems.

Why It Matters

RootCauseAI attacks the longest, costliest phase of every incident — the hunt for why.
While detection takes minutes, diagnosis takes hours of engineers trawling logs across distributed systems; ML-driven correlation of logs, metrics, traces, and topology surfaces probable root causes minutes after detection, collapsing MTTR where it hurts most.
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Diagnosis is the real bottleneck

Most incident time isn't spent detecting or fixing — it's spent finding the cause across dozens of services; automated analysis turns hours of log-trawling into a ranked list of probable causes.

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Institutional knowledge, systematized

Intuition-based debugging depends on the one engineer who "knows the system" — ML-driven analysis makes diagnostic capability available on every shift, not just when the veteran is on call.

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Pre-trained on our clients' actual stacks

Patterns from core banking systems (T24), telecom BSS/OSS, and cloud-native environments mean value from day one on the exact systems traditional enterprises run — not just greenfield microservices.

The Cloudly Advantage

RootCauseAI completes Cloudly’s AIOps incident chain — AnomalyRadar detects, AlertOrchestrator routes, RootCauseAI diagnoses — delivering the full alert-to-answer pipeline as one integrated story.
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Completes the incident intelligence chain

Detect, route, diagnose — three products, one MTTR transformation — the deepest AIOps bundle in the portfolio and its strongest combined pitch.

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T24 and BSS/OSS moat

Pre-trained patterns for core banking and telecom operational systems are vertical IP global AIOps vendors don't build — a home-market advantage that compounds with every incident analyzed.

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MTTR is money in our verticals

Core banking downtime and network outages carry regulatory and revenue consequences per minute — BD can price against the client's own outage costs.

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Supercharges managed services margins

Automated diagnosis lets our 24/7 operations teams resolve more incidents with fewer escalations — the economics behind profitably scaling AIOps managed services.

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Observability services foundation

Root cause analysis requires the logs, traces, and topology mapping our AWS Monitoring services implement — every deployment begins with an observability engagement.

The Final Takeaway

Veteran-knowledge insurance pitch — Enterprises fear losing the engineers who know their legacy systems — systematized diagnosis addresses a succession risk every CTO in our market recognizes personally.

Powered By

OpenTelemetry

Core to the RootCauseAI technology stack.

Elasticsearch

Core to the RootCauseAI technology stack.

AWS X-Ray

Core to the RootCauseAI technology stack.

Jaeger

Core to the RootCauseAI technology stack.

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