For North American executives in regulated sectors—finance, healthcare, government, and education—the pressure to adopt AI is matched only by the peril of getting it wrong. Unlike a nimble software startup, you cannot “move fast and break things” when you hold … Continue reading The House of AI: Architecting Value in Regulated Markets

The Efficiency Paradox A prevailing hypothesis in modern organizational theory suggests that companies prioritizing extreme cost-efficiency and rigid balance sheet controls often struggle to adopt Artificial Intelligence effectively. We often assume that a “tight ship” is a well-run ship. However, … Continue reading How your Balance Sheet predicts your AI Adoption

In the rush to adopt Generative AI, a distinct divide has emerged in the corporate landscape. On one side are the AI Tourists. They visit the technology, take photos (run pilots), buy souvenirs (licenses), and then return to their “real … Continue reading AI Native Advantage – Why Culture, Not Code, Determines AI Success

For decades, Melvin Conway’s observation has haunted software architecture: organizations design systems that are constrained to produce designs that are copies of the communication structures of these organizations. In the era of Artificial Intelligence, this law is not just an … Continue reading Org Silos Shaping Your AI Destiny – How Conway’s Law Foreshadows Enterprise AI Challenges

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

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

The European Union’s AI Act is not noise—it’s a seismic event. For North American leaders in finance and technology, it’s tempting to dismiss this as a “European problem.” This is a critical mistake. Much like the GDPR, the AI Act … Continue reading The EU AI Act’s Global Reach: What North American Execs Must Know

AI is moving faster than most organizations can adapt. Many Canadian financial and technology leaders have pilots in motion, yet few are ready to scale responsibly or sustainably. The challenge isn’t about tools or algorithms—it’s about readiness: leadership alignment, data … Continue reading Five Ways Your Organization Is Not Ready for AI Transformation (and What to Do About It)