The paper introduces Artificial Intelligence System Prompt Assurance (AISPA), a user-centric framework designed for the systematic auditing of system prompts in AI applications. This framework addresses the trust and accountability gap caused by the lack of transparency in developer-configured instructions that govern foundation model behaviors. AISPA provides a structured approach to examine these prompts to ensure better oversight in commercial AI deployments.