Artificial Intelligence in Knowledge Capture and Transfer: Breaking Down Organizational Silos

Abstract Effective knowledge management is crucial for organizational success, but persistent challenges exist in capturing, transferring, and utilizing institutional knowledge. This research examines the intersection of artificial intelligence (AI) capabilities with knowledge management practices, focusing on the potential of AI to overcome organizational silos. The study employs a mixed-method approach, including a systematic literature review, content analysis of implementation cases, and comparative analysis. The findings reveal that successful AI integration in knowledge management requires a balanced approach addressing both technical implementation and organizational readiness. Key success factors include robust data governance, strong leadership support, and comprehensive stakeholder engagement. The research provides valuable insights for organizations seeking to leverage AI technologies for improved knowledge management and organizational effectiveness.