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.
18-Month Countdown – convergence of BCI and AI consciousness
When AI models consciousness and BCIs read it, who owns the signal in between? This is not a philosophical musing. It is a governance question that will land on enterprise risk registers within eighteen months. The countdown is not about whether BCIs will read consciousness. They already can, to a degree. Neuralink has implanted approximately […]
Shadow AI: The Governance Signal You’re Ignoring
When 44% of workers admit to unauthorized AI use, the message isn’t sabotage > it’s demand. Something curious is happening in enterprises across North America and Europe. While IT governance committees debate AI policies and legal teams craft acceptable-use frameworks, employees are quietly solving their own problems. They’re paying $20 a month out of pocket. […]