How AI accelerates S/4 projects
In the rapidly changing world of business technology, large corporations face immense challenges when it comes to implementing new ERP systems. An international company from the pharmaceutical and medical technology sector was faced with precisely this task: the complex transformation to S/4 Hana, starting with a pilot project and the subsequent roll-out in 35 countries. The biggest hurdle: a seemingly insurmountable mountain of testing work that not only threatened to overwhelm the available resources, but also jeopardized the entire project schedule.
Challenges
The S/4 transformation was not just a technical upgrade, but a fundamental realignment of the entire IT landscape. In addition to the large number of test cases, the particular challenge lay in the strict regulatory requirements of the pharmaceutical and medical technology industry. Internal estimates showed that conventional methods would not have been able to provide the necessary resources or keep to the schedule.
The effects of this challenge were far-reaching: on the one hand, the enormous testing effort threatened to blow up the entire project plan. On the other hand, additional resources would have put a considerable strain on the budget. There were also quality risks, as the lack of time and the overload meant there was a high risk of overlooked errors. Despite an intensive search for solutions on the market, the available options seemed inadequate, as the company was not just looking for selective optimizations, but a revolution in test management.
The ProcessBridge solution
During this critical phase, the company came across ProcessBridge, an innovative process management platform that promised a completely new approach to test management. The solution is based on four main components which, when combined, enable a completely new method of test management:
In component one, the "Click Capture with Interview", processes are recorded with minimal effort using a click capture method, accompanied by a simultaneous interview. This method provides a solid data basis for the entire test management. In component two, scenario-based test case creation, the customer simply defines the scenarios to be tested. The ProcessBridge Testing Engine takes care of the rest. In component three, the AI-supported generation of test cases and master data, the engine automatically creates detailed test cases including the required master data using generative artificial intelligence. In the fourth component, a fully autonomous test agent, which is also based on AI technology, executes the generated test cases directly on the system.
Everything runs seamlessly in a closed loop, from the automated creation of test cases to autonomous execution and fully automated feedback of the results. ProcessBridge was introduced gradually, starting with a pilot project as part of the S/4 implementation in the first country. The results were already impressive: On average, 70 percent time savings in the creation and execution of tests, 85 percent reduction in manual interventions in the test process and 40 percent increase in test coverage.
Conclusion
The successful introduction of ProcessBridge as part of the S/4 pilot project brought several benefits: Automated test case creation and AI-supported test data generation reduced the time required and sources of error. Autonomous test execution made it possible to carry out continuous tests without manual intervention. Fully automated results feedback ensured that the test results were available immediately. These advantages led to an increase in efficiency and quality in test management. Test coverage was increased, while resources were freed up for other important tasks. With the pilot project, ProcessBridge has proven to be a real game changer in the field of test management.
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