streamline THIS repetitive ops WORK

100x faster with AI

Automate response for alerts, tickets, and chats in minutes. No workflow creation or maintenance.

Realtime workflows created leveraging thousands of AI-native tasks

Sync your K8s or cloud account to our registry to configure thousands of tasks in a few minutes. Use AI to connect them to your alerts, tickets, and chats.

Traditional automation vs

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With traditional tools, automating repetitive ops work typically takes more time than it saves. This automation is then fragile and flooded with dependencies that break the entire workflow.
RunWhen’s AI Engineering Assistants find automation and create variable workflows. 
Adding AI-native automation to your stack is 100x faster than traditional automation initiatives.
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We simplify everything

RunWhen’s AI Engineering Assistants find automation and create variable workflows. 
Adding AI-native automation to your stack is 100x faster than traditional automation initiatives.

With traditional tools, automating repetitive ops work typically takes more time than it saves. This automation is then fragile and flooded with dependencies that break the entire workflow.

With Runwhen we transform your workflow

Green check
Engineering Assistants create and execute automated workflows in response to tickets, chats, and alerts.
Green check
Set read-only Assistants to intervene and prioritize alerts/tickets before escalating to a human.
Green check
Provide 24/7 developer self-service with Engineering Assistants always on-call.
3,432
Automated Tasks
In The Library
46,124
Tasks Suggested To Devs, Platform Engineers and SREs
15,562
Engineering Hours Saved In Dev, Test and Production
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reduces MTTR by 6x and increases on-call developer productivity by 75%

24/7 Developer Self Service

Reduce escalations by giving your team 24/7 Engineering Assistants that can suggest and execute automated tasks based on chats, tickets or alerts.

Bring on-call in-house

Engineering Assistants provide context rich root cause analysis and fully investigated reports that attach to tickets to reduce MTTR for incident response.

How works

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How it works

Each atomic task is a code snippet. We create an embedding to each task and store a pointer to it in a vector database, when an alert or request comes, we compare its embedding with the vector database, suggest the best match based on that and continue this iterative loop until the incident is resolved. There’s no LLM so its fully secured. To connect to the designated systems using a local runner.

How to set it up

Install the RunWhen Local agent in your cluster to scan Kubernetes, AWS, GCP and Azure accounts.


By default it will sync the RunWhen read-only libraries. You can add more public or private libraries over time.


A scan of a typical small/medium size cluster will import several thousand tasks in a few minutes.

How it works for alerts

Install the RunWhen Local agent in your cluster to scan Kubernetes, AWS, GCP and Azure accounts.


By default it will sync the RunWhen read-only libraries. You can add more public or private libraries over time.


A scan of a typical small/medium size cluster will import several thousand tasks in a few minutes.

Average setup time: 20 minutes.

How it works for chat

Spend more time on improving platform capabilities and less time doing basic dev/test troubleshooting. With 24/7, instant availability of AI troubleshooting assistants, platform owners will see a dramatic increase in ‘customer satisfaction’ from their app developers and start to free up engineering bandwidth for platform roadmap or strategic projects.

Automation can cut observability cost

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Some of our most popular automation libraries copy logs directly from pods and VMs into Jira/Github tickets. Connecting this to VSCode, alerts and CI/CD webhooks removes the need to ingest and store 99%+ of non-prod logs.

Where to next?

The default Assistants that come out of the box are designed for Platform/SRE teams to give to developers for Kubernetes troubleshooting. However, it doesn't stop there...

Connect To Slack

Connect AI Assistants to Slack so anyone on the team can ask an Engineering Assistant for root cause or remediation help 24/7.

Connect To Alerts

Connect Digital Assistants to alerts so they can run autonomous troubleshooting sessions and report back with a root cause, severity, suggested next steps and a full diagnostic report with output from all automation they ran.

Add No-Code Steps

Add No-Code "Generics," simple application troubleshooting steps like checking a REST API, a SQL query or pre-canned log search. These require only a few lines of configuration to be Engineering Assistant-ready

Connect To CI/CD Pipelines

Connect to CI/CD pipelines and use Engineering Assistants to run thousands of troubleshooting tasks. They report back on issues found and severity, creating metrics for operational readiness.

Distribute The VSCode Plugin

When you are ready to give your developers the gift of self-serve troubleshooting, consider distributing our VSCode plugin.

Chaos Engineering?

Connect to your chaos engineering stack or use our lightweight fault-injection scripts to see how Digital Assistants respond to incidents in staging before going to production

Manage to SLOs

RunWhen's defaults include automation to generate fine-grained SLIs, SLOs and Monthly Error Budgets based on community benchmarks that are useful in dev, staging and production.

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Running a lean team means you need the best engineers you can find...

Do you really want your top engineers spending time on work that someone in industry already automated?

image showing the impact of driving down kubernetes costs

Ready to get started?

Let’s take your team to the next level.

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