The Autonomous Operations Factory

AI raised the volume of work arriving at operations without changing how operations absorbs it. This paper sets out how to solve the operations challenge with the autonomous operations factory model.

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What you’ll learn

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Why operations is falling behind, now that AI-assisted development pushes change at the outer loop faster than the teams behind it can absorb
Why more agents don't close that gap, when today's tooling reads the estate and recommends but stops short of acting across the lifecycle
What the Autonomous Operations Factory actually is: a governed operating model that turns intent into verified change across provisioning, deployment, reliability and remediation
How it works, across five elements: intent, coordination, specialised agents, a shared world model, and a shared agentic OS underneath
How autonomy is earned, in four bounded steps from recommend to independently verify, and what each step is aimed at in velocity and reliability
What you can start with today: four products that compose across the lifecycle, from any entry point

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The Autonomous Operations Factory

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