Case Study: Major Public Sector Law Enforcement Agency achieves 76% Cost Savings with ACCELQ Codeless AI Test Automation

ACCELQ’s no-code solution fit the needs for rapid implementation and ensured minimal sustainment burden for one of the largest public sector law enforcement agencies in North America

The Major Public Sector Law Enforcement Agency, one of the largest public sector law enforcement agencies in North America, needed to move beyond slow, manual regression testing and overcome the limitations of Selenium-based automation that was difficult for manual testers to adopt. The agency wanted a low-code or no-code approach to speed up in-sprint automation, reduce dependence on specialized automation skills, and improve overall testing efficiency.

ACCELQ provided its AI-powered no-code testing platform to help the agency rapidly automate tests with minimal training and maintenance effort. With ACCELQ, manual testers were able to create automated tests more easily, smoke testing dropped from 4–8 hours to 15–30 minutes, and manual regression shrank from 6 days to about 4 hours. The agency also reported over 95% successful test executions per release, 100% test coverage for one major application, 76% cost savings, and a 3x faster quality lifecycle.