Researchers are developing AI-based speech therapy applications to automate the tasks of speech-language pathologists (SLPs). However, the focus on replicating human capabilities in AI raises concerns, including algorithmic bias, privacy issues, and potential job displacement. While researchers agree that the Human-Centered AI (HCAI) approach addresses these concerns, there is a dearth of such speech therapy applications. In this context, we propose an HCAI-based Speech Therapy Tool (HCAI-STT) for children with SSD by employing the principle of HCAI. This paper outlines the preliminary design and development of the HCAI-STT, showcasing how integrating human expertise with AI can mitigate the risks associated with AI deployment while enhancing therapeutic outcomes for children. The successful implementation of this tool could serve as a model for future AI-driven healthcare applications. Future work will evaluate the system’s usability and acceptability in real-world settings and explore its potential for broader application.