Note: The capabilities shown in this video are conceptual demonstrations and not part of the current Ansible Automation Platform product. This video was created to showcase potential future innovations and was originally presented at AnsibleFest 2025.
In this demo, we explore how Ansible Automation Platform could incorporate AI workflows using a new emerging standard called MCP (Model Context Protocol) — an open standard that allows large language models to communicate directly with end systems.
While this is not a product roadmap or a guaranteed feature, the goal is to spark ideas about how AI could assist with:
Creating and executing job templates
Troubleshooting issues in real time
Automatically responding to infrastructure problems
Safely enforcing policy with Ansible Policy Enforcement and OPA
We also want to make something else very clear: This is not RPA (robotic process automation). The UI elements shown in the video are conceptual and are changing dynamically as part of the MCP-powered interaction to help the user understand what the AI assistant is doing behind the scenes.
This video is all about envisioning what’s possible when combining intelligent assistance, automation, and policy controls—creating a safer, faster, and more powerful way to manage IT infrastructure.
I like that this was presented as a concept rather than a promise. Too many demos blur the line between what’s shipping today and what’s just an idea.
The interesting part to me isn’t AI generating playbooks—it’s having AI explain why it’s recommending a change, show the policy checks that will be applied, and require approval before execution. If those guardrails are in place, this kind of workflow could save a lot of time during troubleshooting while still keeping operators in control. Looking back, it’s interesting to see how many of these ideas have since become part of the broader discussion around AI-assisted infrastructure management.