The Core Problem:
"Cognitive Operations Gap"
I help regulated Canadian organizations close the Cognitive Operations Gap, the gap between what AI can do and what your teams, processes, and obligations can actually support.
Research White Papers
Cognitive Operations Gap
AI is not just a tech upgrade.
It’s also an operational risk challenge.
Most AI pilots in regulated industries fall short not because the technology is incapable, but because organization is not yet set up to run them safely at scale.That is the Cognitive Operations Gap: the space between what probabilistic models can do and what existing staff capability, governance processes, and regulatory obligations can reliably support.
About Me
Hi, my name is Brian Hu, a Toronto based scholar-practitioner who works at the intersection of governance, operations, and day to day adoption.As an independent AI governance strategist and change leader, I teach, and I also build in environments where process failure is not an option.I help Canadian enterprises move beyond experiments and build AI workflows that are defensible, compliant, and transparent:
Reduce Shadow AI by providing clear, practical guardrails and tools teams will actually use.
I work with Bill C 27 and data sovereignty expectations by defining concrete, testable controls.
My Methodology
(The Glass Box Standard)
Transparent workflows beat black box automation.In regulated environments, AI output is never the finish line. The work has to be explainable, reviewable, and owned.If we cannot show how a decision was produced, how it was checked, and who is accountable, we should not deploy it.That standard shows up in two parts:
Risk First Architecture
Design for auditability and control from day one: clear audit trails, secure build practices, human review where it matters, and safeguards that teams can actually run in day to day operations.
Cognitive Integration Model
A practical adoption framework built for AI, focused on the real blockers: people, process, and accountability. Most pilots stall because the organization is not ready to run AI safely at scale, not because the model is weak.
Preparing for the Future of Work
I am currently publishing research and advising leadership teams on:
Navigating Bill C-27: Preparing Canadian infrastructure for the Artificial Intelligence and Data Act.
Bridging the Gap: Aligning C-Suite strategy with technical reality.
How We Can Work Together
1. Strategic Advisory (Fractional/Project)
Guidance on AI Governance frameworks, risk assessment, and operational roadmap design.
2. Corporate Education & Workshops
Executive briefings on the "Cognitive Operations Gap" and training for technical teams on secure, human-in-the-loop development.
3. Speaking & Research
Keynotes on the reality of AI adoption, moving the conversation from "ideas" to "controls and outcomes."
Contact
Tellus at urna condimentum mattis pellentesque id nibh tortor id. Sit amet aliquam id diam maecenas ultricies. Lacus vestibulum sed arcu non odio euismod lacinia sed risus, commodo eget turpis at, elementum convallis enim dolor sit amet nullam.