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 RunWhen
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
In The Library
RunWhen 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 RunWhen works
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
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...
A (paid) community?
Expert authors in our community receive royalties and bounties when RunWhen customers use their automation. The community's efforts span infrastructure, cloud services and platform components alongside popular OSS components, programming languages and frameworks.
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?