AI-driven integration success in mergers and acquisitions: A transformational SAP Integration Story
Year: 2025
Type: article
Abstract: A global enterprise successfully leveraged artificial intelligence to transform SAP system integration during a major acquisition. Facing significant challenges including disparate SAP environments, regulatory compliance requirements, and compressed timelines, the organization implemented an AI-powered integration framework that dramatically improved outcomes across multiple dimensions. The solution employed neural networks for data mapping, pattern recognition for quality assessment, predictive analytics for risk mitigation, and autonomous capabilities for continuous optimization. This approach not only accelerated the integration timeline by 40% and reduced costs by 30% but also enhanced system performance, strengthened security posture, and maintained business continuity throughout the transition. The case demonstrates how AI-driven integration can convert what is typically a disruptive process into a strategic advantage, establishing new benchmarks for merger and acquisition technology consolidation.
Author: Neelima Aderu
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4410620124