Automation has become a core component of modern engineering environments.
Today many enterprise platforms rely on automation for:
⚙️ Incident management
📊 Operational monitoring
🤖 Automated workflows
🚀 Infrastructure orchestration
But as AI becomes more integrated into these systems, automation is no longer just executing predefined tasks.
It is beginning to influence operational decisions.
This shift raises an important question for engineers and leaders alike.
When an AI-driven system triggers an action that impacts production environments, who owns the decision behind it?
Understanding decision accountability is becoming essential as organizations scale automation.
I recently explored this topic in more detail here:
https://mjbtech.com/blog_pages/When-Automation-Decides-Faster-Than-Leadership.html
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