Teams don't fail at AI adoption because of the technology. But because of how they evaluate and adopt it.

Geosley Andrades, Product Evangelist & Community Builder at ACCELQ, shares how Agentic AI is changing test automation.

And what QA teams need to know before jumping in.

👉 5 Mistakes Teams Make When Adopting AI Testing Tools:

⛔ Using AI at every place vs ✅ Know where AI actually solves a problem.

AI without the right context will hallucinate. Be skillful, not just enthusiastic.

⛔ Picking a tool before defining scope vs ✅ Define what you need to automate first.

Web? API? Mobile? Desktop? If the tool can't do it, you're wasting time evaluating it.

⛔ Going all-in at once vs ✅ Start with a proof of concept.

Give the tool your hardest test case. If it handles that, the basics are a given.

⛔ Using AI just to generate code vs ✅ Adopt a design-first approach.

AI-generated code without design principles creates tech debt, not solutions.

⛔ Ignoring where your data goes vs ✅ Check the architecture before you buy.

If your test data is going to a public LLM, you have a data breach waiting to happen.

Which of these mistakes have you seen on your team?

Connect with Goelsey or find out more:

• LinkedIn: https://www.linkedin.com/in/geosley/
• Personal Blog: https://geosley.blogspot.com/
• ACCELQ Website: https://www.accelq.com
• Blog (articles by Geosley): https://www.accelq.com/blog/autonomous-testing/