Agentic AI in Software Testing: All hype or the next big thing?

The software testing world is buzzing with talk of agentic AI – the latest, greatest frontier in business software automation. These autonomous agents promise to revolutionize how we create and manage tests by making systems that think and act independently, with minimal human input. It’s an exciting prospect, and one that could eventually reshape how organizations approach testing. But is agentic AI for software test automation really ready for prime time?

Agentic AI: A big idea, still in Beta

At its core, agentic AI refers to AI agents that operate with a degree of autonomy. In the context of software testing, this means the AI could potentially explore an application, generate test scenarios, and execute them – all on its own. The promise is clear: simplified test creation, fewer manual steps, and less need for technical expertise.

Early implementations show promise. Agentic AI can sometimes identify basic user flows, generate preliminary test scripts, and even suggest validations. But while the idea is powerful, the execution is still in its infancy. Current agentic solutions struggle with non-cloud ERPs, complex business logic, multi-step workflows, and edge cases that are crucial in enterprise applications. Coverage is inconsistent and not end-to-end, and the learning curve for tuning and trusting these agents remains high.

While it seems like the silver bullet, a shortcut to automation, the reality is that every business today has complex processes that span many systems and across many platform types, so asking an AI agent to create an automated test that covers them all simply will not work.

A proven approach that’s delivering today

While agentic AI is still maturing, Original Software has been delivering smart, user-friendly AI-powered testing for over 15 years.

Rather than waiting for experimental technology to catch up, businesses can rely on Original Software’s well-established platform that helps users rapidly identify changes between software versions—differences that could lead to bugs, regressions, or other costly issues when updates go live.

This approach isn’t just smart – it’s proven. With powerful visual validation and business-aware change detection, users can easily pinpoint what’s changed and what needs testing, ensuring coverage without relying on AI guesswork.

Automation made easy – no agents required

Where agentic AI aims to automate test creation from scratch, Original Software empowers real users to convert their manual tests into automated ones – quickly, intuitively, and without writing code.

This is a game-changer. Business users already know how to validate their processes; they don’t need an agent to guess. Original Software bridges the gap between manual and automated testing with tools that are easier to use than agentic AI, more reliable, and available today.

The bottom line

Agentic AI may be the flashy newcomer in the world of business software testing, but it’s still learning to walk. Until it can run with enterprise-grade reliability, organizations need solutions that balance innovation with practicality.

Original Software provides just that – a mature, AI-enhanced platform that helps teams validate change, reduce risk, and automate with confidence.

Agentic AI has potential. Original Software has performance.