Self-Evolving Enterprise Systems: AI-Driven Architectures for the Next Generation of Digital Platforms
DOI:
https://doi.org/10.47392/Eclearnix.2026.B053Abstract
Self-Evolving Enterprise Systems: AI-Driven Architectures for the Next Generation of Digital Platforms
Objectives:
1. To provide a comprehensive understanding of self-evolving enterprise systems and their role in transforming traditional digital platforms into intelligent, autonomous, and adaptive ecosystems.
2. To explore the core technologies and architectural principles that enable AI-driven platforms, including intelligent meshes, cognitive resource management, generative architectures, and intelligent data fabrics.
3. To equip readers with practical strategies for designing resilient, secure, and self-healing enterprise systems using advanced concepts such as reinforcement learning, explainable AI, autonomous security, and AIOps.
4. To examine governance, ethics, and human-centered approaches required for deploying trustworthy, transparent, and responsible AI-driven enterprise architectures at scale.
5. To prepare professionals and researchers for the future of enterprise intelligence by exploring emerging innovations such as quantum-enabled computing, neuro-symbolic AI, collective intelligence, and bio-hybrid enterprise systems.
Table of Contents
CHAPTER 1 The Dawn of Self-Evolving Systems
CHAPTER 2 From Monoliths to Intelligent Mesh
CHAPTER 3 Technological Foundations of AI-Driven Platforms
CHAPTER 4 Cognitive Resource Management and Optimization
CHAPTER 5 Engineering Resilience: Self-Healing and Autonomy
CHAPTER 6 Generative Architectures: AI-Assisted Schema and Code
CHAPTER 7 The Intelligent Data Fabric
CHAPTER 8 Reinforcement Learning for Continuous Improvement
CHAPTER 9 Securing the Autonomous Perimeter
CHAPTER 10 Explainable AI and Deep Observability
CHAPTER 11 Scaling the Self-Evolving Enterprise
CHAPTER 12 AIOps: Reimagining the Software Lifecycle
CHAPTER 13 Governance, Ethics, and Human Agency
CHAPTER 14 Real-World Implementation and Case Studies
CHAPTER 15 The Horizon of Enterprise Intelligence
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Copyright (c) 2026 International Research Journal on Advanced Engineering and Management (IRJAEM)

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