From Policy to Practice: Operationalizing AI Governance After the Global Regulatory Wave
This article explains why AI governance in 2026 has shifted from written policy to operational execution, outlining where organizations most commonly fail and how leading companies are embedding legal, technical, and human controls into day-to-day business processes to meet global regulatory expectations.
