Legal Solutions for Business and Individual Needs
Keywords:
Techno-Legal Governance, Business Semantics, Self-Adaptive Systems, Enterprise Resource Planning (ERP) Customization, Governance-Centric Alignment Framework (GCAF), Conversational Agents, Data ArchitectureAbstract
In the current economic landscape, a significant obstacle is the alignment of rigid business requirements, which are frequently driven by legal, regulatory, and competitive mandates, and the dynamic needs of individuals. Businesses must navigate complex data architectures, shifting operational costs, compliance frameworks, and compliance frameworks while ensuring that their systems continue to be responsive to users. To produce effective legal and operational solutions, this paper makes a comprehensive framework that combines user- centric agents, automated resource planning, and business semantics. By combining approaches from enterprise resource planning, data architecture modeling, and artificial intelligence, we propose a system in which business "laws," or procedures, are dynamically enforced yet adaptable. Due to the proposed strategy's goal of lowering operational costs and increasing decision-making reliability, businesses will be able to meet the needs of individual stakeholders while also achieving their required goals.
References
Pang, Cecil (2025). Toward Data Systems That Are Business Semantic Centric and AI Agents Assisted. IEEE Access, vol. 13, pp. 113752-113762, 2025. https://doi.org/10.1109/ACCESS.2025.3583260
Munoz-Canavate, Antonio, & Hipola, Pedro (2013). Business information through Spain's Chambers of Commerce: meeting business needs. Munoz-Canavate, Antonio; Hipola Pedro. Business information through Spain's Chambers of Commerce: meeting
business needs. Business Information Review. vol. 25, 4, December 2008, pp. 224-229.
DOI: 10.1177/0266382108098866. https://doi.org/10.1177/0266382108098866
Maged, Ahmed, & Kassem, Gamal (2025). Self-Adaptive ERP: Embedding NLP into Petri-Net creation and Model Matching. https://arxiv.org/pdf/2501.03795v1
Bajwa, Imran Sarwar (2013). SOA Embedded in BPM: A High Level View of Object Oriented Paradigm. https://arxiv.org/pdf/1304.7345v1
Abughazala, Moamin, Muccini, Henry, & Sharaf, Mohammad (2023). DAT: Data Architecture Modeling Tool for Data-Driven
Applications. https://doi.org/10.13140/RG.2.2.23556.81286
Martin, A., Maladhy, D., & Venkatesan, V. Prasanna (2011). A Framework for Business Intelligence Application using Ontological Classification. International Journal of Engineering Science and Technology (IJEST) Vol. 3 No. 2, (2011) 1213-
https://arxiv.org/pdf/1109.1088v1
Mallick, Dibyajyoti, Chakraborty, Priya, & Ghosh, Sayantari (2024). Sustainability & Social Segmentation in Social Media Contagion: A Mathematical and Computational Study on Dual Effects of Individual Needs & Peer Influence. https://arxiv.org/pdf/2411.18709v1
Maronikolakis, Antonis, Ramallo, Ana Peleteiro, Cheng, Weiwei, & Kober, Thomas (2024). What should I wear to a party in a Greek taverna? Evaluation for Conversational Agents in the Fashion Domain. https://arxiv.org/pdf/2408.08907v1
Mirzoev, Dr. Timur, & Alvarez, Ramon (2014). Leveraging VMware vCloud Director Virtual Applications (vApps) for Operational Expense (OpEx) Efficiency. World of Computer Science and Information Technology Journal (WCSIT)ISSN: 2221-0741 Vol. 3, No. 9, 156-163, 2013. https://arxiv.org/pdf/1404.2157v1
Silva, Lakmal, Unterkalmsteiner, Michael, & Wnuk, Krzysztof (2023). Monitoring and Maintenance of Telecommunication Systems: Challenges and Research Perspectives. https://doi.org/10.1007/978-3-319-99617-2_11
