Automated Compliance Auditing in Enterprise Digital Asset Management via Specialized AI Agents

Abstract

Maintaining brand compliance, technical protocol integrity, and formatting precision in enterprise digital asset management usually requires labor-intensive manual Quality Assurance (QA). This paper outlines a deterministic compliance auditing architecture utilizing custom system-prompted AI Agents integrated directly into document processing pipelines. The framework categorizes compliance failures into severity tiers and returns structured, actionable remediation tables directly to content creators.