One of the most critical risk areas in AI-supported systems is the uncertainty about who made the decisions and with what authority. The Decision and Authority Architecture aims to eliminate this ambiguity.

Within the scope of this service; processes where AI provides recommendations, humans make decisions, or fully automated processes are clearly differentiated. Approval points, feedback loops, and exception scenarios are clearly defined.

As a result, organizations increase decision-making speed without losing control, strengthen accountability, and make risks manageable.