A control plane that connects change to consequence.
AI systems are not static deployments. Models, tools, permissions, vendors and data change independently. AURELIS is designed to connect those changes to evidence, policy and operational decisions—so teams can see what changed, what may no longer be valid, and what action is required.
Inspect the control path.
Select a node to inspect its role, inputs, outputs and operational question. This map is a product model; live coverage depends on which integrations and data sources are configured.
Reassess what changed—not everything by default.
A material event should be traceable to affected assets, potentially stale evidence, relevant policies and the resulting decision. The workflow should preserve why a decision changed.
Record a model, tool, permission, vendor or configuration change.
Resolve affected assets, dependencies, owners and operating environments.
Mark evidence for review when its scope or version no longer matches.
Apply configured policy conditions and assurance requirements.
Issue a decision, assign remediation and record the reassessment outcome.
Overlay the estate. Do not force a rip-and-replace.
The intended integration model connects existing sources to a shared control layer. Each connector must be configured, permissioned and tested before it can be represented as operational.
Architecture note: AURELIS is not presented as a universal runtime enforcement point by default. Enforcement requires an integration in the customer's deployment or runtime path.