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

AI transformations aren’t just technology initiatives—they’re pressure tests on organizational maturity. As large organizations push to adopt AI at scale, long-standing weaknesses are being exposed: slow decision-making, entrenched silos, decades of technical debt, and a culture that struggles to change … Continue reading AI Isn’t Your Problem—Your Operating Model Is: How AI Exposes Organizational Weaknesses