Every agentic AI system being deployed right now without foundational intent is accumulating security debt and enterprise risk that compounds quietly. Until it doesn’t. I help organizations close the gap.






Design contextual AI systems; those that iterate into stability vs. chaos.
Do not invest millions in AI infrastructure while skipping the one question that determines whether any of it ages well: what is this system actually formed to be?
That question is the discipline of AI Formation Governance. I’m building the framework. The templates are free. The implementation is where I or my colleagues can assist.
The foundational discipline for organizations deploying agentic AI. I help enterprises define, document, and maintain the intent layer beneath their AI systems — the values, objectives, and long-horizon commitments that determine whether AI serves your actual goals or quietly optimizes toward chaos.
Before you build, you form. I work with organizations to define what their AI needs to want, the 'soul' file that every agent should inherit before it touches your data, your customers, or your decisions. This stabilizes your outcomes over time
AI systems don't stay static. Neither do the organizations running them. Amongst everything else you need monitoring frameworks that tell you when your AI has stopped being what you formed it to be, before the damage compounds.
When the people who built your AI leave, what structure is there to ensure the models continue to serve the organization in the same manner? We design the continuity frameworks that transfer formation intent across leadership transitions, model updates, and organizational change.
Agentic AI Demands Agile Governance. A practical brief for leaders building fast, and building right.
Why Agentic AI Needs Governance That Moves at the Speed of Innovation: A Draft Policy Manual
Why Agentic AI Needs Governance That Moves at the Speed of Innovation: A draft policy manual