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)
- 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
- Severov Arseni Vasilievich, Artyom V. Smirnov, Architecting Real-Time Risk Stratification in the Insurance Sector: A Deep Convolutional and Recurrent Neural Network Framework for Dynamic Predictive Modeling , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Mohammed Imran Choudhary, AI-Augmented Network-Forensics: Leveraging LLMs for Real-Time Threat Detection and Automated Response in Enterprise Environments , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Myroslav Mishov, Autonomous Threat Remediation in Localized AI Environments: A Review of Security-as-Code Execution Models , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- Sonam Kumari, Enhancing Clinical Decision-Making Using Generative AI-Powered Knowledge Retrieval Systems: A Review of Emerging Approaches and Challenges , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Grigorii Danileiko, Formal Operational Models for Protecting Web Interfaces of Legal LLM Systems from Prompt Injection and Insecure Output Handling , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 05 (2026): Volume 03 Issue 05
- Priya Sharma, A Data-Centric Approach to Transforming Digital Retail Through Artificial Intelligence-Based Shopping Systems , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Dr. Eleni Markou, Narrative Intelligence In The Age Of Generative Ai: Integrating Computational Storytelling, Transformer Architectures, Ethical Governance, And Consumer Impact , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 03 (2026): Volume 03 Issue 03
- Dr. Amit Jain, A Comprehensive Survey of Recent Advances Artificial Intelligence for Insurance Fraud Detection , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- 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
Similar Articles
- Dr. Rizky Pratama, Dr. Siti Maharani, A Multispectral Vegetation Index–Based Framework for Intelligent Tea Leaf Quality Assessment Using Degree of Polarization, Leaf Area Index, Photosynthetically Active Radiation, and NDVI Analysis , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Elena M. Ruiz, Integrating Big Data Architectures and AI-Powered Analytics into Mergers & Acquisitions Due Diligence: A Theoretical Framework for Value Measurement, Risk Detection, and Strategic Decision-Making , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 09 (2025): Volume 02 Issue 09
- Myroslav Mishov, Autonomous Threat Remediation in Localized AI Environments: A Review of Security-as-Code Execution Models , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- Dr. Jonathan K. Pierce, Modern Data Lakehouse Architectures: Integrating Cloud Warehousing, Analytics, and Scalable Data Management , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Marko Petrovic, Intelligent Failure Prediction Techniques for Modern Electricity Distribution Infrastructure , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 03 (2026): Volume 03 Issue 03
- Dr. Emily Roberts, Supply Chain 4.0: The Role of Artificial Intelligence in Enhancing Resilience and Operational Efficiency , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 08 (2025): Volume 02 Issue 08
- Dr. Pham Minh Tuan, CNN-Driven Kinematic Modeling Framework for Human Upper Limb Motion Imitation and Functional Replication , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- Dr. Arjun Mehta, Optimized Signal-Driven Learning-Based Control Strategy for Decentralized Agents in Adversarial Communication Environments , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Venkata Sai Sushmanth Yamana, Configuration-Ready, Content-Blind: Identifying the Missing Content-Health Layer in Enterprise AI Readiness Assessments for HR Service Delivery , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 11 (2026): Volume 03 Issue11
- 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
You may also start an advanced similarity search for this article.