The Agile and DevOps transformation of software development practices enhances the need for increased automation of functional testing, especially for regression testing. This poses challenges both in the effort that needs to be devoted to the creation and maintenance of automated test scripts, and in their relevance (i.e. their alignment with business needs). Test automation is still difficult to implement and maintain and the return on investment comes late while projects tend to be short. In this context, we have experimented a lightweight model-based test automation approach to address both productivity and relevance challenges. It integrates test automation through a simple process and tool-chain experimented on large IT projects.