As automation practices mature, the workflows they need to support naturally grow more complex—there are more teams, trigger types, decision points, and AI recommendations to account for. Automation orchestrator is a composable workflow canvas for Red Hat Ansible Automation Platform that enables teams to weave their existing job templates and automation libraries together with logic nodes, event-driven triggers, and AI agent recommendations into more complex IT operations workflows. Red Hat is now making the new automation orchestrator generally available as an add-on for Red Hat Ansible Automation Platform 2.
For IT teams that have already put trusted, governed automation into practice with Ansible Automation Platform, this add-on delivers a new set of tools for orchestrating automation at scale. Automation orchestrator simplifies complex workflow management in Ansible Automation Platform. The visual canvas (Figure 1) gives teams a clearer, more intuitive way to coordinate advanced orchestration without touching the proven automations already in production.
An example CVE remediation workflow in the new automation orchestrator canvas experience Proven playbook libraries, established governance models, and operational consistency form a trusted foundation for Ansible Automation Platform users. Automation orchestrator extends your Ansible Automation Platform environment with new orchestration capabilities built for modern, agentic IT operations. Key highlights include: Together, these capabilities enable what we call multimode automation —the ability to quickly and easily match the right execution type to each step of a workflow, all under a shared governance model.
Everything you’ve already built in Ansible Automation Platform stays exactly where it is. Your current playbooks, workflow templates, and scheduled jobs keep running through automation controller, with the same resilience, reliability, and controls your business demands—no migration and no disruption to what’s already working. Automation orchestrator simply gives you a canvas to handle more complex orchestration when you need it.