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AIOps Platform for SRE Teams
Reduce noise. Find root cause. Resolve faster.
Most AIOps platforms were built for IT operations—ticket routing, alert aggregation, generic automation. RunLLM is AIOps built for SRE teams who own production reliability.
When incidents happen, RunLLM >
Correlates alerts across your observability stack
Investigates root cause automatically
Delivers actionable next steps, all in Slack where your team already works
Not another dashboard. An AI that actually investigates.
What Makes an AIOps Platform Effective
AIOps promises to use AI and machine learning to automate IT operations. Most platforms stop at alert correlation and noise reduction. They can tell you something is wrong, but not why.
The missing piece: Investigation. The step between “alert fired” and “problem solved” still falls on your engineers.
RunLLM closes that gap by investigating alerts, identifying root causes, and providing remediation steps.
AIOps Capabilities
Event Correlation
Collapse thousands of alerts into meaningful incidents. RunLLM groups related signals across your monitoring tools so you see the problem, not the noise.
Automated Investigation
Unlike traditional AIOps that stops at correlation, RunLLM automatically investigates. It queries logs, checks metrics, reviews recent deployments, and correlates evidence to identify root cause.
Root Cause Analysis
Get ranked hypotheses with confidence scores and supporting evidence. See exactly which log lines, metric anomalies, and changes led to each conclusion.
Intelligent Remediation
Recommended next steps based on what RunLLM finds. Rollback suggestions, scaling operations, and configuration changes with clear context and safety boundaries.
Continuous Learning
Every incident improves the system. RunLLM builds knowledge from your environment, past incidents, and team feedback—getting smarter with each investigation.
The RunLLM AIOps Advantage
Why SRE Teams Choose RunLLM
Native to Engineering Workflows
Investigation happens in Slack—not another dashboard to monitor. Engineers stay in context and respond faster.
Evidence-Based, Not Rule-Based
RunLLM reasons through your data to find the root cause. It doesn’t rely on pre-configured rules that break when systems change.
Designed for Complexity
Modern systems are distributed, polyglot, and constantly changing. RunLLM handles the complexity your traditional AIOps platform can’t.
Transparent AI
See exactly why RunLLM reached its conclusions. Every hypothesis includes citations to underlying data so you can verify and trust the analysis.
RunLLM connects to your AIOps ecosystem
Monitoring:
Logging:
APM:
Communication:
Common Questions
What You Might Be Wondering
How is RunLLM different from other AIOps platforms?
Most AIOps platforms focus on alert correlation and ticket automation. RunLLM goes further - it automatically investigates alerts to find root cause and recommend remediation. It’s AIOps that actually solves problems, not just organizes them.
Does RunLLM replace our observability tools?
No. RunLLM connects to your existing observability stack (Datadog, Splunk, Prometheus, etc.) and uses that data to investigate. It’s a layer on top, not a replacement
How long does implementation take?
Most teams are investigating their first real incident within days. Connect your observability stack and Slack, and you’re ready to go
Ready for AIOps That Actually Investigates?
Stop spending hours in war rooms. Get to root cause in minutes.