Most organizations are discovering that their first wave of AI governance—central committees, policy documents, and risk reviews—can’t keep up with the speed of adoption already happening across the enterprise. The challenge is no longer a lack of rules; it’s a … Continue reading From AI Bottleneck to Breakthrough: Decentralized AI Councils as the Next Evolution of Responsible Governance

AI adoption is forcing large organizations to rethink how they implement Business Agility. Traditional Agile practices—designed for predictable, human-only workflows—are not sufficient for AI-enabled operating models. As financial services, software, and nonprofit enterprises accelerate their AI programs, six key shifts … Continue reading Beyond Frameworks – Six Ways AI Is Transforming How Large Enterprises Practise Agility

China’s recent AI rules combine tight technical controls with an explicit political purpose—requiring AI systems to reflect “socialist” values as a condition of trust and public legitimacy—creating a governance model that every VP should read as both a regulatory playbook … Continue reading Beyond Compliance – How China is Rewriting AI Governance Around Ideology

In Canada as of January 2025, Bill C-27 (containing the Artificial Intelligence and Data Act, or AIDA) has effectively died on the order paper due to the prorogation of Parliament. For many founders, this signals a reprieve—a chance to delay … Continue reading Future-Proofing FinTech Startups in Canada: An Offensive Strategy for AI Regulation

AI-driven transformation is not just “digital 2.0.” It changes the locus of value, how work is designed, and the governance and trust questions you must resolve. Below are four principal ways AI change management differs from standard digital or Agile … Continue reading From Agile to AI: Four Ways Change Management Just Changed Forever