soft guideINFRASTRUCTURE & ADVISORYAI Factory / Level 3 of 3 · for enterprises
A cluster of agents that operates your production, and agents in your CI that fix what an update broke. One product: what the operations agents learn about your system is what the CI agents work from.
You have a product. You need somewhere production-grade to run it.
Level 2Everything in Platform, plus the controls auditors and attackers both test first.
Level 3Agents that operate production and fix your CI, on top of Secure or alongside a platform you already run. For enterprises.
On top of the Secure level, or alongside the cloud and delivery stack you already run: nothing is rebuilt to adopt it.
A cluster of SRE and DevSecOps agents next to your production, looking in.
Agents in the pipeline you already run, where an update broke the build.
Six levels of autonomy
Autonomy is measured by who approves a change in production, not by which model you run. Each level is earned with evidence.
The six levelsHow we get there
Where your operations are on the six levels, and what the next one needs.
Agents answer from live data and change nothing.
They learn your system and pass an examination on your past incidents.
Changes run on approved plans with temporary, plan-only access.
Kinds of action move to autonomy by policy, one at a time.
Not up to the model
Start with a review
An assessment and an implementation path for AI agents that investigate, propose and act in production under your rules, starting read-only and earning each next step with evidence.
Discuss this review ↗Your current level, the target level, and a sequenced plan with the evidence each step needs. Implementation is part of AI Factory, for enterprises.
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A separate cluster of SRE and DevSecOps agents: they investigate every alert from outside production, and act only on a plan a named person approved, with access that exists for that plan alone.
Dependency updates arrive continuously; when one breaks the build, an agent in that same CI run adapts the code, inside a sandbox, and hands the result to your review.
A maturity model for AI in operations: from no agents to production that only agents touch, measured by who approves a change rather than by which tools you bought.
Why closing standing human access to production, and letting agents act on approved, temporary, audited access instead, makes production safer, not riskier.
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