AI Assistant Governance

AI assistant governance focuses on establishing clear transparency and robust guardrails so powerful conversational models act predictably and maintain trust. Treating assistants as unsupervised spokespeople creates risk: surprising, erroneous, or inappropriate responses can embarrass organizations and damage customer relationships. Effective governance combines visible design choices—explainable behaviors, limits on claims, and user-facing cues—with operational controls like role-based constraints, monitoring, and escalation paths. The surprising insight is that governance is as much about communication design as technical safety: users and stakeholders need to know what assistants can and cannot do. Implementing these practices reduces reputational risk, improves user experience, and unlocks more confident adoption.