DOI: 10.32628/cseit235147 ISSN: 2456-3307

AI-Augmented Enterprise ERP Modernization: Zero-Downtime Strategies for Oracle E-Business Suite R12.2 and Beyond

Shravan Kumar Reddy Padur

Enterprise ERP modernization faces a fundamental constraint: mission-critical systems must evolve without stopping the business. Oracle E-Business Suite (EBS) R12.2 introduced Online Patching (ADOP) and Edition-Based Redefinition to minimize downtime during maintenance, but real-world zero- or near-zero-downtime outcomes still require a blend of deployment architecture (blue-green/canary), automation, testing, cutover governance, and—more recently—AI-assisted operations (AIOps) for anomaly detection and risk management. This article consolidates proven practices from field work—including an R12.2 iStore reimplementation for an ecommerce platform and large-scale VM/network migrations executed with no data loss and no service interruption—and synthesizes them with current literature and vendor guidance to present a repeatable playbook for ERP upgrades with AI-augmented assurance. The result is a pragmatic pattern library spanning planning, build, verify, cutover, rollback, and post-cutover observation, mapped to Oracle’s online patching lifecycle and modern release strategies.

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