AI isn’t “new” to ERP, but it’s everywhere now. Microsoft Dynamics 365 Copilot is suggesting forecasts, drafting emails, and automating decisions that once required human oversight.
That’s powerful—but also dangerous if untested.
Why AI in ERP Changes QA
Traditional testing focuses on fixed workflows. AI breaks that paradigm:
AI Learns and Changes: Outputs evolve, which means QA is continuous, not static.
Bias and Transparency Issues: AI decisions aren’t always explainable, but auditors still want answers.
Business Stakes Are Higher: An incorrect AI-driven forecast can derail procurement or overstate revenue.
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A Real-World Example
In one project, Copilot suggested reducing safety stock based on recent demand dips. Looked fine in isolation.
But QA dug deeper: The data model had underweighted a seasonal spike.
Had this gone live, the company would have stocked out during peak season.
We solved it by building AI validation frameworks: automated data checks + human-in-the-loop reviews for high-risk actions.
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The Takeaway
Testing AI isn’t about breaking models. It’s about testing trust:
Explainable outputs.
Scenario validation under edge conditions.
A balance of automation + expert review.
AI can’t replace ERP expertise—it amplifies it. QA ensures it does so safely.
