AI-Driven Mapping: How Agents Accelerate Complex Transformations

Mapping is often the slowest and most misunderstood part of data migration. Legacy systems store information in ways that don’t match SAP or Oracle’s standardized data models. AI agents dramatically speed up mapping by analyzing structures, suggesting rules, and identifying common patterns across entities such as materials, vendors, customers, and financial records. Yet final decisions require expert interpretation—real-world business logic cannot be fully automated. With AI handling the groundwork and human specialists ensuring accuracy, organizations achieve faster mapping cycles with higher confidence and fewer errors.