Authority before autonomy.

Registers every model, agent and skill with a mandate, a risk boundary and an earned trust level.

Provides AI inventory, policy, risk, evaluation, human oversight and deployment controls.

Preserves context, evidence, ownership and unresolved issues when work passes between people, agents, models or teams.

Creates, governs and reuses approved AI skills, tools and managed application components.

Orchestrates multiple agents, tools and tasks with bounded authority, routing, retries and evidence.

Maintains a governed ledger of models, versions, owners, approvals, evaluations, use rights and performance.

Controls release evidence, testing, approvals, change impact, rollback and post-release verification.