Autonomy under policy
The control plane evaluates policy, not persuasion.
Autonomous does not mean uncontrolled. An agent can propose a change to any product its scope covers. What it cannot do is decide whether that change is allowed. The policy and validation layer, fourth of the six, settles that: every proposal is checked against the Blueprint before a model reads it, reviewed by an agent that had no hand in writing it, then classified by what it touches and evaluated against written policy that returns automatic, needs approval, or refused. Humans hold the approvals that matter; everything narrower applies without a meeting. The sequence is written into an append-only record you can read back change by change.
Asking the model is not control
The obvious design is to ask a model whether a change is safe and act on the answer. That turns a confident sentence into production access, and a model that is wrong reads exactly like one that is right. AI never receives permission simply because its answer sounds convincing.
Nothing signs off on itself
The agent that drafts a change never clears it. An independent critic reviews the proposal, the policy engine evaluates it against written rules, and a named person approves where those rules say a person must. Four roles, and the author holds none of the others.
The small changes stop queueing
Most portfolio changes are narrow and reversible, and those apply the moment they pass their checks. The few that reshape an entity, move a permission or reach customer data route to the person who owns that product, with the reviewer's objections attached. Approval stays scarce enough to be worth reading.
What is included
5 capabilities in Governance
Each one is its own surface, and all of them answer to the same Blueprint under one set of policies.
Deterministic Validation
Structure is checked first. A change that does not fit the Blueprint is rejected before any model reads it.
Read morePolicy Engine
Rules you can read out loud: deleting a published capability is blocked, reshaping a high-risk entity needs a named approval.
Read moreRisk & Approval
Each change carries a risk level, and the level decides: apply automatically, wait for a person, or refuse.
Read moreAudit Trail
Append-only record of who proposed, what validated, what review said, what policy returned and who approved.
Read moreData Classification
Mark a field sensitive once in the Blueprint, and that marking follows it into generated code and policy.
Read moreThe rest of the product
Six areas, one system.
Blueprints
The Blueprint records what your software means before any file is generated, and a published version of it is what every release points back to.
5 capabilitiesCapability Graph
The portfolio as a library: every capability with a key, a version, an owner, a status and the products depending on it.
5 capabilitiesAutonomous Builds
Strategy becomes ordered tasks, pull requests and a release that names its inputs. Nothing merges on an agent's word.
5 capabilitiesStop managing prompts. Start managing software strategy.
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