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The benefits of test automation become clear when software teams start releasing faster than they can manually test. Many engineering teams today face the same challenge: delivery speed is increasing, but validating every change manually takes too long. Test automation helps solve this by running tests quickly, catching bugs earlier, and reducing repetitive manual work so teams can release software with greater confidence.

Hospitals today function at the crossroads of urgency, volume, and complexity. Patients anticipate quicker care, clinicians seek more efficient workflows, and administrators require better visibility, all amid rising costs. That’s where Hospital Management Software (HMS) earns its stripes. The global hospital management software market is projected to nearly double, reaching roughly at $57.64 billion by 2035.

Empower your teams to focus on building better products by automating the generation of reliable, maintainable tests in minutes—not days.

The contemporary mobile ecosystem is incredibly complicated. Applications today are not standalone anymore; they are dynamic, heavy in features, and constantly communicating with cloud solutions, wearables, and IoT devices. Although the use of traditional test automation has contributed to enabling engineering teams to remain in step with agile delivery, the sheer number of fragmented devices and continually changing user interfaces has revealed the limitations associated with it.

Contents AI is now embedded across the entire software development lifecycle. Developers use it to generate code. Product managers use it to prototype features. Teams use it to move from idea to deployment faster than ever. Code moves faster. Features ship more frequently. Iteration cycles shrink. Across industries, companies that embrace this speed have a distinct competitive advantage. But in highly regulated industries, including financial services, speed can’t come at the cost of quality.

Over the last year, at Testlio, we have upskilled more than 600 testers in our global community to test AI-powered applications.

February introduces practical improvements across Test management, TestCloud, and TrueTest that help teams move faster while maintaining better control over testing operations. Here's what we have released.

According to Perforce's 2026 State of DevOps report, there is a direct correlation between DevOps maturity and AI success. In a highly mature DevOps environment, AI accelerates innovation, optimizes workflows, and enhances security. In an immature environment, it scales chaos, multiplies risk, and inflates costs. So, before we ask ourselves how to make the most of our AI solutions, we must assess if our foundational processes are prepared for the challenge ahead.

Your AI chatbot might give a customer the wrong price. A RAG-based support agent might cite a document that doesn’t exist. An AI coding assistant might suggest code with a security problem. These issues are common for teams releasing LLM features without proper testing. The reality is that many teams using GPT, Claude, or Gemini don’t have a strong testing strategy. They usually do a few manual checks or simple prompt tests and assume it’s enough.