Automation
The Automation module provides the execution framework for running remediation actions across your infrastructure. It manages the trust-level system, execution scheduling, and the audit trail for every automated action AtlasAI performs.
Key Features
- Progressive autonomy (L0–L5) — Configure how much authority the AI has, from inform-only to full closed-loop resolution
- Action catalog — Pre-built actions for common operations: restart services, scale deployments, flush caches, rotate credentials
- Execution targets — Run actions on Edge Agents, Kubernetes clusters, cloud APIs, or external systems via webhooks
- Approval chains — Multi-level approval workflows for sensitive operations
- Audit log — Immutable record of every automated action, including who approved it, what changed, and the outcome
- Rate limiting — Prevent automation storms with configurable execution limits per time window
- Rollback support — Automatic rollback when an action fails or causes metric degradation
How to Access
Navigate to Automation in the left sidebar. The main view shows recent automation activity, pending approvals, and the autonomy level configuration.
Basic Usage
- Navigate to Automation → Settings to configure the global autonomy level
- Start at L1 (Suggest) — the AI suggests actions, and humans approve each one
- Review the Action Catalog under Automation → Actions to see available operations
- When an incident triggers a runbook, pending actions appear in Automation → Approvals
- Approve or reject each action, or approve all steps in a runbook at once
- Monitor execution in real time under Automation → Activity
- As confidence grows, increase the autonomy level to L2 or L3 for faster resolution
See also
- Workflows (ITSM vs automation) — Automation → Workflows (
/workflows) vs ITSM approval definitions (/api/workflows/definitions); do not confuse with service-request approval chains - User Guide: Scheduling & automation — Creating schedules, cron expressions, approvals, and execution history