Why Organizational AI Needs Epistemic Infrastructure
Federico Bottino, Carlo Ferrero, Nicholas Dosio, Pierfrancesco Beneventano
Paper, Preprint, arXiv preprint (cs.AI), 2026
Abstract
Organizational AI systems need epistemic structure beyond retrieval capabilities. We present OIDA, a framework that represents organizational knowledge as typed objects with epistemic properties, commitment strength, and contradiction status. A key innovation is QUESTION-as-modeled-ignorance, which surfaces organizational unknowns. Experimental evaluation uses an Epistemic Quality Score methodology; OIDA achieves 0.530 EQS with 3,868 tokens versus 0.848 for a full-context baseline using 108,687 tokens. The QUESTION mechanism shows statistical significance with Fisher p=0.0325.