AI for Regression Testing: Myth, Risk or Smart Move?

Automated regression testing is essential in today’s fast-moving ERP environments. But with automation reaching maturity, the question on everyone’s mind is whether AI is the future of regression testing.

We took a look at two Reddit threads, r/softwaretesting and r/QualityAssurance, to unpack what the QA and developer community really thinks about the role of AI in regression testing. Some of the comments show valid concerns, others reflect outdated assumptions, and a few even highlight great opportunities.

In this blog, we explore some concerns we encountered on the topic and how Fortude, with our AI-powered testing platform, Fortest, is changing the game.

This user seems to have a fair concern. Many AI tools on the market are built generically. They lack the domain expertise and ERP-specific context needed to create meaningful regression tests.

But this is exactly where Fortest stands apart.

Unlike generic AI tools, Fortest is designed for complex ERP and enterprise application ecosystems, including Infor and Microsoft Dynamics 365. It is built with an understanding of the workflows, data structures, and business rules that drive these platforms.

” AI can generate a plan, or a scenario, but they’ll be useful for trivial cases only. I haven’t seen a convincing example for a non-trivial case yet.”
— Formal-Laffa, r/softwaretesting

Here again, the experience is valid, but it stems from using tools that generate tests without understanding context. Auto-generated scripts without human alignment or system-specific tuning often result in broken logic and high maintenance overhead.

With Fortest’s Auto Script Generation, we tackle this differently:

• Business analysts describe processes in plain English.
• Fortest uses Natural Language Processing to understand the logic and translate it into ERP-specific test scripts.
• These scripts are optimized for ERP and enterprise application flows across Infor, Dynamics 365, and other complex systems.

What Reddit users miss here is that not all AI-generated test scripts are created equally. It’s not about AI versus human, it’s about smart AI guided by real-world business logic. That’s what Fortest delivers.

Users also experience frustration with AI that breaks every time the UI changes as this means manual maintenance needs to be conducted. This is a classic frustration that comes with regression testing. Even the most well-structured scripts can become fragile when minor UI tweaks disrupt locators or input fields.

Fortest solves this with AI-powered self-healing.

Here’s how it works:

• During test execution, Fortest identifies if a test failure is caused by a functional issue or a cosmetic/UI change.
• If it detects a changed locator or renamed field, it uses pattern recognition and contextual AI to adapt in real time.
• The test script updates itself, with no human intervention needed.

This is not a feature every tool offers, and it’s definitely not mentioned in the Reddit threads. But it’s one of the most powerful real-world AI use cases in enterprise QA.