Insights
Practical perspectives on AI governance, modern delivery, and building technology organizations that actually work.
The AI Control That Makes Every Other Control Possible
Regulators spent fifteen years teaching banks to keep a model inventory — then carved generative AI out of it. Every oversight, access, and incident control assumes a complete list, and most enterprise lists are incomplete by design.
The Engagement Letter Is Where Third-Party AI Gets Settled
Bar regulators have written the consent expectation down, tax law got there decades ago, and most clients still have no idea what their firms are running. The engagement letter is where that ambiguity ends — one way or the other.
The Smallest AI Policy That Actually Works
Six in ten workplaces have no rule on generative AI, and employees have quietly filled the vacuum themselves — concealing usage, skipping verification, pasting client data into free tools. The answer is not a forty-page framework; it is one page and five decisions.
August 2 Still Matters: The EU AI Act Deadline That Didn't Move
Brussels bought companies seventeen extra months on the AI Act's hardest requirements. It did not touch the rule most businesses will feel first: Article 50's transparency duties still bind on August 2, with the same fines attached.
Why Most GenAI Governance Programs Stall
Generative-AI governance programs rarely stall for technical reasons. They stall because nobody owns approvals, controls arrive without enablement, and adoption is assumed rather than designed — three organizational failures that recur with remarkable consistency across enterprise deployments.