I’m an enterprise AI leader i Canada focused on orchestrating value through institutionalized governance and adoption. I standardize how AI is evaluated, deployed, and measured so organizations realize material cost improvements, revenue impact, and reliability gains-with responsible guardrails. I lead portfolio-level adoption (AIOps/MLOps, LLMOps, observability, evaluation gates, human-in-the-loop) and embed repeatable frameworks. My background spans telecom/media and enterprise technology across multi-shore delivery, with an emphasis on scaling value beyond one-off pilots.
AI Governance Theater: When Policies Exist But Nothing Actually Changes
There’s a pattern I see repeatedly. A company shows me their AI governance framework. Glossy presentation. Ethical principles. Risk assessment templates. A committee that meets quarterly. Then I ask three questions: When was the last time this framework stopped an AI deployment? Who has the authority to kill a model in production? What happened the […]