A Governance-Centered Framework for AI-Based Knowledge Systems Supporting Organizational Resilience and Process Continuity
Digital transformation research has extensively examined service digitization, platform governance, and algorithmic regulation. However, comparatively limited attention has been devoted to the architectural design of AI-enabled institutional memory systemsthat underpin organisational resilience and process continuity. Across both public administrations and large private-sector organisations, demographic transitions, workforce mobility, and escalating system complexity increase the risks of knowledge erosion and operational fragility.
This article develops a governance-centred four-layer architectural framework for AI-based knowledge systems designed to strengthen institutional memory across digitally intensive sectors. Grounded in the knowledge-based view of the firm, organisational learning theory, and contemporary AI governance scholarship, the framework integrates: (1) data governance foundations ensuring structural integrity and cybersecurity; (2) intelligence processing capabilities leveraging AI technologies; (3) structured human oversight mechanisms preserving expert validation and accountability; and (4) governance and compliance protocols embedding transparency, auditability, and regulatory alignment.



