An Integrated AI-Enabled Enterprise Architecture for Ethical Automation and Secure Networks and Mobile Systems and Compliance-Driven Intelligence

Antti Markus Nieminen

doi:10.15662/IJRAI.2026.0901007

Authors

Antti Markus Nieminen Senior Software Engineer, Finland Author

DOI:

https://doi.org/10.15662/IJRAI.2026.0901007

Keywords:

AI-enabled enterprise architecture, ethical automation, secure networks, mobile systems, compliance-driven intelligence, predictive analytics, cybersecurity, operational efficiency

Abstract

The rapid advancement of Artificial Intelligence (AI) and digital technologies has transformed modern enterprises, driving efficiency, scalability, and intelligence across organizational processes. This research explores an integrated AI-enabled enterprise architecture designed to enable ethical automation, secure network operations, mobile system integration, and compliance-driven intelligence. The architecture leverages AI algorithms, machine learning, and predictive analytics to optimize operational workflows while ensuring ethical decision-making and regulatory adherence. Secure network frameworks are incorporated to safeguard data integrity, prevent unauthorized access, and mitigate cyber threats. Mobile systems are seamlessly integrated, providing real-time decision-making capabilities and enhancing workforce productivity. Compliance-driven intelligence ensures that business operations align with legal, regulatory, and industry standards, fostering transparency and accountability. The study adopts a mixed-method research approach, combining qualitative analysis of industry best practices with quantitative modeling of AI-based systems. Advantages, including enhanced operational efficiency, reduced human error, and improved risk management, are explored alongside potential challenges such as system complexity, high implementation costs, and ethical dilemmas. This research contributes to the field by proposing a holistic, scalable, and ethically grounded framework for enterprises seeking to harness AI capabilities while maintaining security, compliance, and mobile adaptability.

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