Intelligent automation for operations that demand results

• RPA (Robotic Process Automation): runs repetitive, structured, rule-based tasks, simulating human actions in systems.
• RTA (Robotic Test Automation): focuses on test automation, validating flows, business rules, integrations and system behavior.

While RPA automates the operation, RTA guarantees the quality and reliability of processes before and after changes, which is essential in environments with frequent updates.

AI reads the process flow and starts to:

• Understand business rules
• Identify critical scenarios
• Suggest test cases automatically
• Reduce the dependence on manual effort and development

This removes much of the repetitive work, speeds up test creation and execution and lowers operating cost, letting the team focus on strategic validation instead of mechanical tasks.

Myers’ Rule of Ten shows a critical point for any business: fixing an error costs exponentially more than preventing it. The financial impact of an error can be 10, 50 or even 100 times greater than the amount invested in early testing.

That cost is not only in technical rework. It multiplies into:

• Team hours diverted from product evolution
• Stoppages or degraded operation
• Emergency support
• Lost productivity
• Risk to credibility and to the customer experience

Investing in early, well-structured and continuous testing is not an extra cost, but a direct strategy for reducing expenses, gaining predictability and protecting the business.

Developing an automated test takes hours or a few days, while an error in production can cause weeks of rework and high costs. The test also becomes a reusable asset, speeding up future validation, preventing recurring failures and making deliveries more predictable.

In practice, the investment in testing pays for itself quickly by reducing risk and cost over the system’s lifecycle.