Agentic AI: New Governance Challenges for Boards and Executives
Why agentic AI is a governance question for the board, and which action areas need attention now.
Perspectives on AI, governance, cybersecurity and digitalisation for boards and executive teams.
Why agentic AI is a governance question for the board, and which action areas need attention now.
Why AI governance in Switzerland becomes a leadership task even without the EU AI Act, and what boards should do about it.
Why Swiss boards need technology competence as its own governance pillar, with a fixed place on the agenda.
IT outsourcing creates new dependencies. Responsibility for service delivery stays with the company and cannot be delegated away.
Technology readiness and organisational readiness rarely move at the same pace. Boards that ignore the gap risk fragmented AI adoption.
A BIS working paper shows GenAI can mirror treasury decisions. For boards, the real question is governance, not raw capability.
Family offices face a structural gap between AI ambition and data governance. Without integrated, reliable data, AI pilots will not scale.
Most AI projects stall at the pilot stage. The fix is not more technology. It is redesigning data, governance, teams, and culture for AI.
Most AI pilots never scale. The reason is rarely the technology. It is data, governance, operating models, and unrealistic expectations.
AI expands the attack surface as fast as it creates value. What boards must ask before greenlighting AI adoption.