Automation Democratization Using AccelQ and Watsonx AI: A Case Study in Low-Code, Multi-Platform Test Automation

The increasing complexity of enterprise applications and multi-platform business processes demands efficient, scalable, and accurate testing solutions. This study presents a practical approach to automation democratization using AccelQ, a low-code/no-code testing platform, combined with IBM Watsonx AI to generate manual test cases for subsequent automation. By integrating AI-driven test case generation with low-code automation, the initiative significantly reduced manual effort, improved regression coverage, and accelerated delivery cycles across multiple applications and customer journeys.