AI Agents Are Deciding—Do You Trust The Output?

Enterprise leaders often express confidence in AI-generated outputs despite lacking verification processes, revealing a gap between trust and actual data quality or governance readiness. This disconnect arises from data issues, poor explanation of AI reasoning, and insufficient oversight mechanisms. Effective AI governance requires engineering controls—agent harnesses—that regulate AI tool use, data access, and human intervention points to ensure reliable outputs.