Short, plain-language pieces built from the same thinking behind every engagement — no excerpts from the book, no jargon that doesn't earn its place.
Five conversations on trust, agentic AI, and why governance has to move at machine speed.
Why ambiguous metadata makes LLMs hallucinate — and how plain-language documentation fixes it.
Trusted Data MeasurementA live “nutrition label” for your datasets, so trust becomes a number executives actually read.
Trusted Data MeasurementWhy data teams get treated as a cost center — and how to reframe trust as a value engine instead.
Data GovernanceThe semantic translation tax quietly blocking AI ROI — and why Governance-as-Code is the fix.
PlatformLicensing the right model won't save a flawed roadmap — governance starts with strategy, not vendors.
AI GovernanceRoughly 80% of governance initiatives fail — the fix is radical clarity, not more tooling.
AI GovernanceOutsourcing thinking to AI trades long-term expertise for short-term speed — why “cognitive friction” needs protecting, not eliminating.
AI GovernanceWhy abrupt downsizing usually costs more than it saves, especially when AI is expected to fill the gap the layoffs left behind.
AI GovernanceA sober look at the AI labor-market narrative — separating what's actually happening to roles from the hype.
Bring it to a conversation before you bring it to a board meeting.
Talk to us about your data