Agentic AI for accelerated SAP Custom Code Modernization
Accelerate your journey to SAP Cloud ERP with agentic AI and unlock efficiency from day one
Accelerate your journey to SAP Cloud ERP with agentic AI and unlock efficiency from day one
As SAP ECC and heavily customized S/4HANA landscapes near end‑of‑life, many organizations struggle to modernize without disrupting the business.
Kyndryl takes a different approach to SAP transformations with Clean Field. Leveraging agentic AI from Nova Intelligence and Kyndryl’s deep SAP expertise, it pinpoints what needs to change and modernizes custom code with precision. The result is a smoother, faster path to a Cloud ERP foundation ready for automation and AI.
Clean Field is Kyndryl's high-precision path to SAP transformation. Instead of lifting old problems from SAP ECC into S/4HANA or starting entirely over, Clean Field systematically identifies what to keep, what to redesign and what to retire before moving. Combining agentic AI, data‑transformation accelerators, enterprise architecture and change‑management expertise, it delivers a faster, low‑risk path to modernization, cutting effort by up to 75%, cost by 50%, data volume by 80% and no tech debt.
With Clean Field, you get the speed of brownfield and get faster to the business benefits of greenfield. It supports accelerated modernization with AI, radical simplicity through automated analysis and transformation, and seamless change with uninterrupted operations and protected SAP entitlements. The result is a much faster and less costly transformation, creating a future ready platform that significantly reduces the TCO.
In a proof of concept for Kyndryl, Nova Intelligence transformed our legacy ABAP applications to 100% Clean Core compliant solutions in just ten business days.
Reduction in costs, delivering tangible ROI
Agentic AI approach produced high quality output and reduced consultant hours improving the time-to-value
Reduction in implementation time through AI-driven efficiency
Multi-agent AI accelerated SAP implementation fit-gap, testing, modernization done in hours
AI-generated code in the final output
AI agents generated 3,500+ code lines with only ~200 needing SME edits for production readiness