Original frameworks and analysis on enterprise AI governance.

Most AI governance programs in 2026 are moving faster than the organizational design work that gives them meaning. An agent can be fully configured, fully logged, and fully compliant, and still have no written record showing who authorized it, what it was supposed to accomplish, or who is accountable when it produces a harmful output. This research addresses that gap directly. Every framework and every brief here is built from named primary sources. No product agenda. No consulting pitch.