The Autonomous Operations Factory
Read the new whitepaper
AI raised the volume of work arriving at operations without changing how operations absorbs it. Adopting point AI agents for operations helps but does not finish the job, because an agent that operates only inside one domain is frequently blind across them. This paper sets out how to truly solve the operations challenge with the autonomous operations factory model.
What's covered
- 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
