2026-03-04 –, RoboCon Online
For a major German bank, we automated SAP testing using Robot Framework. The solution verifies data mapping, interfaces, data initialization, and regulatory reports. Test cases run in CI/CD pipelines, with results synced to Jira/Xray. As part of QA, the automation validates test artifacts and generates reports via Jira Structure. In addition, Generative AI supports both test automation and QA, including a pull request analyzer that aligns PRs with Jira stories, ensuring traceable, maintainable, and auditable testing across SAP environments.
For a major bank in Germany, we built a comprehensive test automation solution for SAP landscapes using Robot Framework — designed to enhance consistency, traceability, and speed in quality assurance within a highly regulated banking environment.
The solution automates end-to-end SAP workflows, including:
- Data mapping validation across applications
- Inbound and outbound interface checks
- Verification of data initialization
- Validation of regulatory reports
Existing test cases are automated with Robot Framework and integrated into a CI/CD pipeline. Test results are automatically synchronized with Jira/Xray test executions via the Jira API, ensuring full traceability across requirements, tests, and defects.
The automation also performs formal validation of test artefacts in Jira (test cases, test plans, and test executions) and generates comprehensive reports using Jira Structure.
We also leverage Generative AI to support and enhance the test automation process. A key differentiator is our AI-driven quality assurance: a business-centric Pull Request Analyzer verifies whether pull requests align with corresponding Jira user stories, ensuring functional accuracy and completeness.
AI-based checks further validate both manual and automated test scripts — evaluating their structure, completeness, and clarity against internal quality standards and coding guidelines. This ensures high-quality documentation, easier maintenance, and more reliable test implementation.
In this talk, we will share our journey of integrating Robot Framework with SAP testing, CI/CD, Jira/Xray, and AI-based quality assurance. Attendees will learn how to scale Robot Framework in enterprise SAP environments and how AI can elevate both automation and documentation quality.
test automation, SAP testing, GenAI support, quality assurance
Is this suitable for ..?: Beginner RF User, Intermediate RF User Describe your intended audience:This talk is intended for QA engineers, test automation specialists, and DevOps professionals working in enterprise or regulated environments.
It targets attendees who already have some experience with test automation and want to extend their skills using open-source tools like Robot Framework and Generative AI.
Yibo Wang is a Senior Manager for Quality Engineering at Accenture and leads the Practice Groups “Cloud Testing” and “Security Testing.” With over 15 years of experience in test management, test automation, and software architecture, he develops modern testing strategies and integrates AI solutions into complex projects. His credo: sustainable quality is achieved only through the combination of technology, methodology, and teamwork.
I'm a Test Automation Engineer at Accenture with 7 years of experience in quality assurance.
I focus on building scalable, end-to-end automation frameworks across Web, API, Desktop, and Databases. A key area of my expertise is validating complex enterprise systems, including SAP, and integrating robust test suites directly into CI/CD pipelines to enable fast, reliable delivery for clients in the Banking, Automotive, and Public Sectors.