Control: Governance makes scale possible
Blog post from Box
The 2026 State of AI in the Enterprise report highlights the critical role of governance in the effective scaling of distributed AI within organizations, emphasizing that governance designed specifically for AI agents, rather than retrofitted from human workflows, can provide the necessary visibility and control. The report reveals that while stronger governance might seem to slow adoption, it actually empowers organizations to manage incidents better, with leading-edge companies reporting more AI-related incidents due to their enhanced capacity for detection and visibility. Despite a significant increase in organizations establishing AI governance frameworks, many still lack comprehensive visibility and formal standards, indicating that the real challenge lies not in AI model capability but in organizational capability. As companies progress in AI maturity, they integrate governance with infrastructure, permissions management, and knowledge access into a cohesive operational model, reflecting a shift from ad hoc measures to more robust frameworks.
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