Executive Summary

The status quo is costing more than you think

Legacy Oracle estates carry rising costs, performance bottlenecks, and growing complexity that are often harder to see than they are to feel. At the same time, core enterprise data is becoming increasingly disconnected from where AI and analytics innovation is happening, leaving CIOs and CTOs under pressure to modernize without compromising stability or introducing new risks into the business.

There is a smarter path forward

Oracle AI Database@Azure brings Oracle workloads closer to modern cloud, AI, and analytics services through a strategic re-platforming, not a lift-and-shift, that reduces risk and improves cost visibility. Underpinning this architecture, AMD high-performance compute ensures that demanding, mission-critical workloads continue to run efficiently throughout and after the transition.

Migration without the guesswork

A data-driven assessment maps the full Oracle estate before any migration begins, giving leaders the clarity they need to move forward with confidence. From there, the Migration Factory model delivers speed, consistency, and reduced operational disruption across core business applications including Oracle EBS, PeopleSoft, and JDE.

The numbers speak for themselves

Enterprises modernizing with this approach are achieving 20–40% TCO savings through license optimization, infrastructure rightsizing, and service automation. In live pilot benchmarks, workloads showed up to 75% improvement in Oracle EBS schema statistics processing, with measurable gains across PO receipt processing, sales order reporting, and AP invoice handling.