Living Policy Architecture
A framework for turning written policy into governed, executable logic. The paper examines how rules become checks, where human judgment remains essential, and how decisions stay traceable to their source.
Working papers, frameworks and the argument behind the work.
A framework for turning written policy into governed, executable logic. The paper examines how rules become checks, where human judgment remains essential, and how decisions stay traceable to their source.
Why the scarce skill in applied AI is knowing which questions are worth asking. A case for making expert reasoning, policy, and decision records a capability the institution can own.
The DAP approach in one page: assess the opportunity, govern the boundaries, build and run the workflow, and transfer the resulting capability to the institution.
The case for a standard disclosure layer in AI agent governance.
The case for executable, traceable policy in continuously operating AI systems.
Proving an institutional AI decision followed the rule that governed it.
A six-layer classification standard for institutional portfolios. Published for review.
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