Red Hat said on the 1st that it added new features to Red Hat Ansible Automation Platform, an enterprise AI agent operations solution.
As corporations move from piloting AI agents to actual operations, they need ways to automatically link model outputs with existing infrastructure; the newly unveiled Red Hat Ansible Automation Platform 2.7 and the new Automation Orchestrator (tech preview) serve as automation platforms that support this.
Red Hat's strategy is to develop Ansible Automation Platform into the execution layer that links AI to real operating environments. To that end, it added features that link corporations' internal documents and knowledge to AI, an MCP (model context protocol) server that easily integrates AI tools and automation, and AIOps functions integrated with IBM Instana, ServiceNow, and Splunk.
Because the functions have been improved to orchestrate (operate in an integrated manner) more complex AI workflows, corporations do not need to rebuild their existing environments from scratch to adopt AI, Red Hat said.
According to market researcher IDC, by 2027, 85% of the Global 500 corporations will adopt AI agents for autonomous IT cloud operations and will continuously monitor, analyze, and resolve issues with minimal intervention. A Red Hat official said, "In this new environment, the value of an AI agent depends on the system that executes its intent," adding, "Ansible Automation Platform provides not only the speed and efficiency required for AI-based IT operations, but also the governance and precision needed for operating systems."