GenAI in Cash Management: Promise or Hype?
A BIS working paper shows GenAI can mirror treasury decisions. For boards, the real question is governance, not raw capability.
Perspectives on AI, governance, cybersecurity and digitalisation for boards and executive teams.
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.
AI governance has moved from a peripheral concern to a strategic imperative. What boards must do to capture the value and manage the risk.
AI lifts efficiency but carries risks: skill loss, vendor lock-in, and shrinking junior programmes. What boards need to check now.
File uploads and shadow AI expose companies to a growing, often invisible risk of data leaks. What governance needs to deliver now.
MIT research finds 95% of enterprise AI pilots deliver no measurable return. What boards and executive teams should learn from the GenAI Divide.
A global red-teaming competition shows AI agents remain highly vulnerable to attack, with implications reaching all the way to board level.