AI Scaling Raises New Risks and Governance Demands

AI adoption is accelerating in enterprises, with 82% of global business leaders prioritizing scaling its use for automation, decision-making, and improved customer experiences. However, many company boards still lack a clear AI agenda, increasing risks related to shadow IT and cybersecurity breaches. The integration of AI and data science is enabling predictive interventions and business benefits, including reduced customer attrition and advances in healthcare diagnostics. Organizations face new challenges in productionizing AI, such as unpredictable agentic AI outputs, rising costs, and the need for structured automation to ensure reliability and security. The emergence of agentic and enterprise-ready AI agents is driving new models of business automation, making accountability and governance increasingly critical. Responsible scaling, robust data practices, and cross-functional collaboration are essential to harness AI's potential while managing its risks.