How does AI improve test accuracy?

H2K Infosys explains that AI is changing software testing in ways that honestly felt impossible just a few years ago. Instead of relying only on manual checks, AI-powered testing tools can quickly detect hidden bugs, predict failure points, and even learn from previous test cycles. That means better test accuracy, fewer production issues, and faster releases. Teams using AI in quality assurance are also seeing reduced human error, which is a big deal in complex enterprise applications. A recent example is how fintech companies now use AI automation to catch transaction glitches before customers even notice them. It’s not magic, but it’s getting surprisingly close.