AI adoption is accelerating, but businesses still face a harder question: is the technology actually creating measurable value without increasing risk? Simone Zanetti, Co-Founder and Strategic AI Advisor of Zanetti AI Institute, explains why enterprise AI often delivers strong results in isolated pilots but becomes far harder to control when deployed across thousands of employees. He discusses hallucinations, AI drift, shadow AI, and why organisations need stronger observability, validation, and auditability. Zanetti also explains what executives should measure when assessing AI productivity and risk, and why simply tracking employee adoption tells management very little about business value. The conversation also explores data sovereignty in South Africa, infrastructure constraints around hosting large AI models locally, and why different employees may need different AI platforms based on cost, capability, and use case. #ArtificialIntelligence #AIGovernance #BusinessTechnology