AWS Releases Kiro-Based SAP Modernization Agent, Claims Up to 87% Workload Reduction in Internal Tests
AWS launches an AI agent for converting ABAP code to S/4HANA, reporting significant efficiency gains in self-tests, with early adoption by partners like NTT Data.
Amazon Web Services (AWS) released a sample SAP modernization agent built on its AI development tool "Kiro" on October 28, 2026. The agent aims to automate the most labor-intensive parts of Enterprise Resource Planning (ERP) system migrations: analyzing, converting, and testing legacy ABAP code to fit the latest SAP S/4HANA systems.
According to AWS's disclosed internal test results, the agent converted 88 programs consisting of 5,854 lines of SAP code in approximately 4 hours and 30 minutes, with all generated unit tests passing. AWS claims this process reduces workload by up to 87% compared to traditional manual methods. It is important to note that these figures come from AWS's own controlled test environment and have not been independently verified in real-world enterprise production settings.
Despite the limitations of self-reported data, the tool has attracted industry attention. Japanese telecom giant NTT Data applied the agent in its new migration service "Neo i-KOU," reporting up to a 95% reduction in ABAP code conversion workload. Consulting firm Capgemini also indicated that using Kiro-based AI agents could shorten the analysis and build cycle for system integration projects by 40% to 60%. Additionally, Toyota Chile utilized the agent to analyze hundreds of existing SAP programs, thereby narrowing the scope of code requiring migration.
The sample agent is currently available via application through the AWS registration page and distributed through GitHub repositories. AWS stated it will collaborate with partners such as Accenture, Deloitte, and Kinandil to support enterprises in their SAP system transformations. For large companies undergoing migration from on-premise deployments to cloud or S/4HANA, such AI-assisted tools may significantly alter the cost structure and project timelines of IT services outsourcing.