2026· International journal of advanced engineering and management research· Vol 11, pp. 322-335· 0 citations· 10 references
Abstract
Governance systems traditionally rely on retrospective audits, periodic inspections, and
compliance-driven oversight. These approaches fail to capture the dynamic realities of modern
risk environments, where system performance is shaped by rapidly evolving operational,
technological, and environmental conditions. This manuscript introduces the Event-Validated
Governance (EVG) Framework, a cross-sector governance model that uses real-world events—
failures, near misses, anomalies, and performance deviations—as empirical signals for
recalibrating governance assumptions, policies, and operational protocols. EVG extends the
Adaptive Governance Systems Framework (AGSF) by formalizing the validation loop as a
continuous, event-driven mechanism for governance learning and adaptation. The EVG
framework further establishes event-driven validation as a decision-support intelligence
mechanism that transforms operational deviations, system anomalies, and real-world
performance conditions into adaptive governance recalibration processes across interconnected
socio-technical environments. The framework positions events not as isolated failures but as
inputs to decision-support intelligence that support institutional resilience, accountability, and
adaptive oversight. EVG provides a foundation for modernizing governance systems across
critical infrastructure, healthcare, finance, and public administration.
The paper proposes the Operational AI Governance Maturity Model (OAGMM), a framework organized around four independently assessed operational dimensions - discovery, enforcement, GRC integration, and agentic governance - each scored across five levels of operational capability, and proposes a dimension-specific profile...
An Autonomous Validation Architecture model is proposed that applies engineering principles with institutional decision processes and offers a structured approach to improving accountability, strengthening decision reliability, and building greater confidence in complex decision-making systems.
Odinaka-olisa James Okonkwo· INTERNATIONAL JOURNAL OF SOC...· 0 citations
An integrated framework that transforms multidimensional data into dynamic risk signals through temporal analysis, anomaly detection, predictive modeling, benchmarking, and explainable analytics is developed and positions risk intelligence as a closed-loop capability for strengthening anticipatory decision-making, inst...
Precious Adanne· International Journal of Res...· 0 citations
This study proposes an integrated Auditability and Performance Monitoring Framework for enterprise DSS environments that unifies structured reporting workflows, transaction traceability, KPI-based performance evaluation, and validation procedures within a single architecture.
Ramsha Siddiqui, Ahmed Erfan Nahian, Nirban Bhowmick et al.· International Journal of Inn...· 1 citation
As social governance becomes increasingly complex, traditional governance approaches face challenges such as information asymmetry, fragmented coordination, delayed risk response, and uneven public service delivery. Large language models (LLMs) offer new possibilities for knowledge processing, decision support, and h...
Jun Hao, Jian-Ping Li, Yang Wu et al.· National Science Review· 0 citations
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