Get Started
Home
Topics
Search
Library
Research questionHow can enterprises turn tacit, fragmented knowledge into grounded, adaptable, auditable actions?Organizational know-how is distributed across structured records, documents, multimodal material, and tacit practices, while generic models lack firm-specific decision context. Retrieval systems can remain brittle, and static playbooks cannot adapt or directly support governed execution.
AI
AI Agents
Business
Retrieval-Augmented Generation
Technology
Latest papersRecent research connected to this question, newest first.Corporate Language Model (CLM): Transforming Tacit and Fragmented Enterprise Knowledge into a Sovereign, Auditable, and Executable Corporate Intelligence LayerThe source presents the Corporate Language Model (CLM), combining ontology-grounded knowledge, generative reasoning, reusable skills, digital twins, security controls, human oversight, and executable specifications. Its evidence includes an implementation at a JCI-accredited tertiary hospital in Brazil under LGPD, covering three of six proposed maturity stages; broader enterprise effectiveness is not established by the supplied evidence.research paper · Sep 3, 2026
Related questions
How can AI augment computational design while preserving domain grounding, verification, and scientific judgment?How can organizations adopt generative AI when technical reliability, social risks, and governance lag behind?How can research agents reuse operational know-how when repositories are too large to load during tasks?How can system-wide safety policies govern heterogeneous agent actions without modifying each agent or execution path?