Fully automated AI testing sounds like the future. In practice, it’s one of the fastest ways to lose confidence in your ERP.
AI-driven testing tools can execute thousands of test cases faster than any human team. But speed without judgement creates a different problem: tests that pass on paper while missing the business logic errors, edge cases, and contextual failures that only experienced testers catch. Over time, fully automated QE drifts away from what the business actually needs to validate.
Human-in-the-Loop (HITL) testing rebalances this. It combines the speed and coverage of AI-driven automation with structured human checkpoints – ensuring that critical business processes, compliance controls, and user experience scenarios are validated by people who understand what ‘correct’ actually means in your JDE environment.
In this eBook, you’ll learn:
- Why fully automated QE models fail over time – and the specific gaps they leave in JDE environments
- What Human-in-the-Loop testing looks like in practice: where humans add irreplaceable value in the AI testing cycle
- How to design a HITL QE model that scales as your JDE automation footprint grows
- How ITC implements HITL testing as a sustainable, long-term quality engineering practice
Download this eBook and build a QE model that keeps pace with AI – without losing human judgement.