CloudRadial AutomationAI is a multi-tenant MSP automation control plane. You build automations visually in the Designer, deploy them to runners you operate in your own Azure subscription, and run them on a schedule, on demand, or from a trigger. This article explains what AutomationAI does, who it is for, and the core loop that ties it all together.
- What You Can Do
- Key Concepts
- Next Steps
What You Can Do
AutomationAI is built for managed service providers who want repeatable, auditable automation across their tools and their customers' environments. With it you can:
- Build automations on a drag-and-drop canvas in the Designer, combining PowerShell, Python, and C# scripts with AI and logic steps
- Deploy a published automation to a runner that executes the work inside your own Azure subscription
- Run automations on a schedule, manually, or from a webhook trigger
- Use Ask AI, the goal-oriented assistant, to carry out tasks with the tools your installed extensions provide
- Track every execution in History, including per-step results and timing
- Add vendor integrations from the Extensions catalog to give your automations and Ask AI more tools to work with
Key Concepts
A handful of terms describe how work flows through AutomationAI. Each maps to an area in the sidebar.
- Workflow — a repeatable automation definition you author in the Designer
- Deployment — a published workflow version assigned to a runner and an environment, ready to execute
- Runner — an execution agent you deploy in your own Azure subscription; it polls the control plane for work and is never directly reachable
- Run — a single execution of a deployment, with a status such as succeeded, failed, or timed-out
These connect in one core loop: Workflow → Deployment → Runner → Run. You author a Workflow, deploy a published version of it to a Runner, and each execution produces a Run you can review in History.
Next Steps
To get going:
- Sign in and enroll in multi-factor authentication — see the article on signing in and setting up MFA
- Learn the layout from the article on the AutomationAI dashboard at a glance
- Review roles and permissions to understand who can do what in your workspace
- Check the AutomationAI glossary of key terms whenever a word is unfamiliar
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