Kelverion Runbook Studio vs RunbookAI
Kelverion Runbook Studio
kelverion.comRunbookAI
userunbook.aiSide by side
| Figure | Kelverion Runbook Studio | RunbookAI |
|---|---|---|
| Price from | $1,195/mo | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Windows | Yes | — |
| Linux | — | Yes |
| Plans published | 4 | 0 |
| Spec score · Runbook Automation Software | 7.7 (#6) | 6.8 (#17) |
| Deployment | Every edition includes deployment on a server for multi-user runbook development. | RunbookAI offers CLI mode and a self-hosted shared knowledge server, with no hosted service or control plane. |
| Integrations | The pricing page lists Smart Integration Modules including Atlassian Jira, Azure DevOps, BMC Helix ITSM, ServiceNow, Slack, SQL Server, and VMware vSphere. | Documented integrations include AWS, Kubernetes, PagerDuty, OpsGenie, Slack and Claude Code. |
| Purpose | Runbook Studio is a no-code, low-code graphical authoring tool for creating automation runbooks powered by Azure Automation. | RunbookAI investigates production incidents by forming hypotheses, gathering evidence and recommending fixes. |
| Support | Kelverion offers consulting, deployment, configuration, optimization, ongoing support, and Runbook Support services for Azure Automation and Integration Modules. | The documentation directs users with questions or issues to GitHub Issues or Discussions. |
Plans
Kelverion Runbook Studio
- Starter$1,195 a month
- Professional$1,500 a month
- Enterprise$2,000 a month
- Unlimited$2,500 a month
In their own words
Kelverion Runbook Studio
Kelverion Runbook Studio has no write-up on Specifiction yet; its figures are above.
RunbookAI
RunbookAI is a self-hosted, MIT-licensed incident-response tool for investigating production problems. Its workflow collects incident context, ranks hypotheses, checks them against infrastructure, identifies a root cause, and recommends remediation. Users can ask natural-language questions across AWS, Kubernetes, and CloudWatch, then execute step-by-step runbooks. Queries are read-only by default; every mutating action needs explicit human approval. Investigations record hypotheses, evidence, proposed actions, approval decisions, and execution results in a local audit trail. RunbookAI indexes knowledge from local files, Confluence, and Google Drive. Documented integrations include AWS, Kubernetes, PagerDuty, OpsGenie, Slack, and Claude Code. A self-hosted shared knowledge server exposes runbooks, postmortems, and known issues through REST and an MCP endpoint for Claude Code. CLI mode is available, with no hosted service or control plane. The maker says it runs inside your infrastructure, sends no telemetry, and sends model requests directly to the configured provider without proxying or storing prompts. Requirements include Bun 1.0+ or Node.js 20+ and an Anthropic API key for Claude.