White Paper
Governing Enterprise AI Assistants: An Operational Guide to Safe AI Usage, Visibility and Control
This whitepaper addresses the governance challenges of deploying AI assistants at scale, focusing on behavioral risk rather than traditional data leakage concerns. It highlights issues such as unvetted automation, unreviewed outputs, and hidden data flows through connectors and tool-calling, as described on pages 2–3. The paper introduces a layered governance framework centered on visibility, intent classification, and policy enforcement. By shifting focus from restricting data input to monitoring how AI is used, organizations can safely accelerate adoption while maintaining compliance, control, and accountability across enterprise AI workflows.
