Follow a change from its source to its control decision.
Choose an operational change, run the defined checks, inspect the affected evidence and policy conditions, and export the result. This is an interactive local demonstration—not a connection to a production AI system.
Finance Operations Agent
Select a node in the graph to review its record and relationship to the current assessment.
Operational decision
The baseline scenario satisfies the configured demonstration checks.
All configured demonstration checks passed for the registered version and declared scope.
Every result has a traceable path.
The timeline records the order of the demo assessment steps. The data is generated locally from the selected synthetic scenario.
Records used in this assessment
| Evidence ID | Claim / check | Version scope | Freshness | Result |
|---|
Demonstration boundary: this lab does not connect to customer infrastructure, execute a real release gate, or certify an AI system. The assessment rules and sample evidence are visible and intentionally limited. Production use requires validated integrations, customer-defined policies, authenticated access, and deployment-specific testing.
Start with one AI system and a measurable control problem.
AURELIS ACI can scope a bounded technical assessment around a model change, dependency, permission boundary, or evidence gap. Scope, inputs, deliverables, and acceptance criteria are agreed before work begins.