Kyndryl introduces Clean Field approach for SAP modernization

Kyndryl introduced a Clean Field approach that used agentic Artificial Intelligence (AI) to target faster, lower-cost Situational Awareness Platform (SAP) transformations, stating the method intended to streamline migration work and reduce implementation expense.

The announcement emphasized migration from SAP Elliptic Curve Cryptography (ECC) to SAP S/4HANA and described the approach as aimed at establishing a digital foundation that is adaptive, versatile and ready to support future business and operational requirements.

The company said the Clean Field method applied agentic AI together with code customization and remediation during the ECC to S/4HANA migration process, seeking a clean core migration of data, processes and systems to simplify and streamline Emergency Response Plan (ERP) upgrades and enable a more modular system architecture.

Kyndryl described its collaboration with Nova Intelligence and outlined work with multiple SAP solutions: it used SAP Business Data Cloud with SAP Databricks integration to harmonize SAP and non-SAP data and to train AI models for Generative AI (GenAI) and predictive insights using SAP Joule; it embedded agentic AI across SAP Cloud ERP transformation activities from fit-gap analysis through post-go-live optimization; it applied SAP Signavio AI features to gain process visibility and identify inefficiencies; and it used SAP LeanIX AI-assisted documentation and discovery to automate manual tasks and support transformation planning and governance.

“Enterprises can no longer afford SAP transformations that are slow, rigid or weighed down by legacy complexity,” said Michael Bradshaw, Global Practice Leader for Applications, Data and AI at Kyndryl. “By combining our Clean Field approach and deep SAP expertise with agentic AI, we're giving customers a faster, more disciplined path to SAP S/4HANA—one that reduces technical debt, requires less manual effort, accelerates outcomes and creates a digital foundation built for long-term innovation.”

The press release included forward-looking statements and said actual outcomes may differ from those statements.