Familiarity is the enemy: On why Enterprise systems have failed for 60 years
Summary
An in-depth critique of enterprise knowledge management arguing that familiarity bias has driven failures for decades. It outlines five failure modes, critiques current AI approaches like retrieval augmented generation, and advocates a graph-native, self-hosted architecture built on Clojure and Datomic with an immutable ledger and sovereign design. The piece proposes a third option to move beyond the traditional wiki and familiar vendor paradigms to achieve real, auditable intelligence in enterprises.