Provenance For Autonomous Agents: What Regulated Enterprises Must Reconstruct After An AI Agent Acts
Abstract
Organizational decisions are linked to actions through autonomous AI agents which influence employees' work and operational delivery. The aim of this study is to propose an integrated framework for provenance in regulated enterprises across human resource management (HRM), labour management (LM), operations management (OM) and industrial relations (IR). The research is an integrative synthesis of 40 different research publications between 2001 and 2026 and descriptive secondary analysis of 20 publicly reported survey estimates. The literature is structured around four themes: Provenance and accountability, HR and organizational decisions, labor and industrial relations and human-AI operational performance. The synthesis sets out four interconnected requirements: the same context for both sources and execution, explicit delegation and human contribution, linkages between employment arrangements and operational delivery, and traceable participation and evaluation. These requirements are translated into eight proposed evidence dimensions that include mandate, rules, inputs, configuration, execution, participation, outcomes and stewardship. The differences in the shares reporting positive workforce and operational outcomes, based on public employer consultation data, range from 9.30 to 15.00 percentage points. Implementation context is provided by training, managerial decision and governance indicators. The main analytical result is the link between technical execution and institutional arrangements for people and work that is established through meaningful provenance. The study provides a 40-study evidence matrix, four research figures, a public data comparison that can be replicated, and seven proposed evaluation measures to help guide future workforce decisions and operational coordination and evaluate reconstruction quality in enterprises.
Keywords
References
Most read articles by the same author(s)
- Muhammad Awais Liaqat, Integrating Artificial Intelligence, Digital Twins, and Advanced Process Control for Sustainable and Efficient Chemical Manufacturing , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Arvind Patel, Anamika Mishra, INTELLIGENT BARGAINING AGENTS IN DIGITAL MARKETPLACES: A FUSION OF REINFORCEMENT LEARNING AND GAME-THEORETIC PRINCIPLES , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 03 (2025): Volume 02 Issue 03
- Takumi Suzuki, Mio Tanaka, Scalability Constraints in AI-Driven Construction Management: Opportunities for Robotics and LLM Integration , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Larian D. Venorth, Prof. Elias J. Vance, A Machine Learning Approach to Identifying Maternal Risk Factors for Congenital Heart Disease , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 08 (2025): Volume 02 Issue 08
- Dr. Michael Lawson, Dr. Victor Almeida, Securing Deep Neural Networks: A Life-Cycle Perspective On Trojan Attacks And Defensive Measures , International Journal of Advanced Artificial Intelligence Research: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Dr. Sunita Dixit, Early Warning Systems for Traffic Accidents Using Predictive Machine Learning Models , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 07 (2026): Volume 03 Issue 07
- Angelo soriano, Sheila Ann Mercado, The Convergence of AI And UVM: Advanced Methodologies for the Verification of Complex Low-Power Semiconductor Architectures , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Dr. Chinedu Okafor, Dr. Amina Bello, Cyclic Signal-Initiated Coordination in Probabilistic Decentralized Systems Subject to Varying Network Configurations , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Gulshan Akram, Reimagining Humanity in the Age of Artificial Intelligence: A Posthumanist Reading of Gareth Edwards's The Creator (2023) , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Dr. Wei Zhang, Dr. Li Chen, An Intelligent Knowledge-Driven Clinical Decision Support Framework for Predictive Comorbidity Risk Assessment and Healthcare Decision-Making , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
Similar Articles
- Nethika Perera, Kavindu Jayasinghe, Dynamic Risk-Based Access Control for Autonomous Agentic AI Systems: Architecture, Policy Enforcement, and Security Evaluation , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Dr. Ethan Michael Laurent, Next Generation Resource Scheduling Architecture via Neural Computing Based Forecast Models , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dwi Jatmiko, Huu Nguyen, AI-Guided Policy Learning For Hyperdimensional Sampling: Exploiting Expert Human Demonstrations From Interactive Virtual Reality Molecular Dynamics , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Sashank Siwakoti, Bhaskar Chaganti, Human-in-the-Loop Control Planes for Cortex Agents: Policy-Driven Escalation, Approval, and Evidence Capture , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Kwame Asare, AI-Powered Predictive Exception Management and Supply Network Coordination in SAP S/4HANA Manufacturing , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 10 (2026): Volume 03 Issue 10
- Dr. Alejandro Moreno, An Explainable, Context-Aware Zero-Trust Identity Architecture for Continuous Authentication in Hybrid Device Ecosystems , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Takumi Suzuki, Mio Tanaka, Scalability Constraints in AI-Driven Construction Management: Opportunities for Robotics and LLM Integration , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Aarav Sharma, Dr. Meera Kulkarni, An Integrated NDVI-Driven Predictive Model for Assessing Protein Concentration in Rice Crops and Nitrogen Status in Rice Leaves Through Aerial Imaging and Regression Analysis , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 07 (2026): Volume 03 Issue 07
- Bilal Saiyad, Compliance By Architecture: A Human-AI Operating Model For Medical Inquiry Management Conceptual Framework Paper , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 11 (2026): Volume 03 Issue11
- Adrian T. Blackmoor, Digital Lending Transformation Through Real Time Artificial Intelligence Based Credit Analytics , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 11 (2025): Volume 02 Issue 11
You may also start an advanced similarity search for this article.