AI SRE for On-Call Teams

Know What's Wrong in Minutes

RunLLM is the AI SRE that investigates alerts, correlates evidence across your stack, and delivers root cause and next steps in Slack—automatically.

Trusted by:

The Problem

AI Ships More Code. Your SRE Team Pays the Price.

AI coding assistants are increasing code deployment and velocity, but on-call headcount remains flat. The gap compounds every year.

The reliability work still has to happen: triage, debugging, mitigation, postmortems, and preventing repeats. The same engineers writing more code also staff on-call.

Your observability tools are great at alerting. They're not as good at helping you figure out what actually happened, what changed, or what's safe to do next.

41%

Projected gap between code output and on-call capacity by 2027

LinearB benchmarks + RunLLM analysis

2x

Code churn—more rework shipping to production as AI coding rises

GitClear 2024-2025 Analysis, 211M lines

What Engineers Say

Sound Familiar?

"When incidents pile up, roadmap progress stops and people burn out."

Director of SRE,
Enterprise CX Company

"Our observability tools are great at alerting, not at helping us figure out what actually happened."

Director of SRE,
Enterprise Software Company

"Troubleshooting is a verymanually intensive job. By the time we get engineering involved, there's a delay."

Director of SRE,
Enterprise Software Company

"If you could mine the knowledge out of Slack instead of us having to write it all, that would be great."

Head of Platform Engineering
Logistics Company

The Solution

An AI SRE That Investigates for You

RunLLM correlates evidence across logs, metrics, traces, deploys, tickets, docs, and historical incidents—then delivers root cause and next steps directly in Slack.

Evidence-Backed RCA

Get hypotheses ranked by confidence, with citations to underlying signals you can verify yourself.

Exploratory Analysis

Follow reasoning traces to dig deeper into specific signals or explore related areas.

Safe Mitigation Steps

Get suggested next steps with clear safetyboundaries. You stay in control.

Knowledge Capture

Automatically indexes institutional knowledge soyour organization learns from every incident.

Why Teams Choose RunLLM

Built for How SRE Actually Works

Live in Days,
Not Months

Connect to your stack and start investigating in days. No long implementation cycles or professional services required.

No Perfect
Runbooks Required

Works with the runbooks you have— or none at all. Investigates autonomously, then learns from what it discovers.

Glass-Box, Not
Black-Box

Works with the runbooks you have— or none at all. Investigates autonomously, then learns from what it discovers.

Common Questions

What You Might Be Wondering

What if our documentation is a mess?

Most teams are investigating their first real incident within days, not weeks. Connect your observability stack and Slack, and you're ready to go.

Is it safe for production?

Most teams are investigating their first real incident within days, not weeks. Connect your observability stack and Slack, and you're ready to go.

What tools does it integrate with?

Most teams are investigating their first real incident within days, not weeks. Connect your observability stack and Slack, and you're ready to go.

How long does setup take?

Most teams are investigating their first real incident within days, not weeks. Connect your observability stack and Slack, and you're ready to go.

Ready to Transform Your Incident Response?

The AI SRE that builds trust through evidence.