Agentic AI infrastructure: moving beyond Copilots to autonomous operations

In the past 18 months, the focus in the industry has shifted from simple "Copilot" tools to "Agentic AI," which are autonomous systems capable of executing code and making decisions, especially in highly regulated sectors like Fintech and Healthtech. Unlike stateless applications, these agents are stateful and require complex infrastructure, including "Agentic Control Planes" and "Agent Sandboxes," to operate safely and compliantly with regulations like the EU AI Act. This act mandates rigorous documentation and traceability, making it essential for Kubernetes management platforms to automate these processes. Autonomous agents are integrated into DevOps workflows to perform tasks independently, such as diagnosing issues in Healthtech applications. For companies looking to scale their AI operations, integrating Agentic AI into existing engineering standards is crucial, and Qovery is developing solutions to incorporate these capabilities into Kubernetes workflows to ensure security, observability, and compliance.

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