
In recent years, online speech therapy has become an essential tool for expanding access to specialized services in Brazil, connecting patients and professionals regardless of geographical barriers. Tele-speech therapy, regulated by the Federal Council of Speech Therapy (Resolution CFFa No. 580/2020), refers to the practice of speech therapy mediated by digital technologies, enabling remote assessments, interventions, and guidance. As a result, individuals and families now have access to qualified support from a distance, promoting greater inclusion in communication rehabilitation. At the same time, Artificial Intelligence (AI) has optimized these services, allowing for greater personalization of therapies and continuous support for patients and their families. This study aims to examine the impact of AI on online speech therapy, particularly in Augmentative and Alternative Communication (AAC), as implemented by a multidisciplinary team providing online services in Brazil. The methodology is based on an integrative literature review, analyzing scientific articles, regulatory guidelines, and clinical case reports to identify the main applications of AI in remote speech therapy. The findings indicate that AI facilitates the personalization of therapeutic interventions, automates the creation of materials and vocabulary selection, and supports goal setting and intervention strategies. The integration of AI into online speech therapy represents a significant advancement, making therapies more accessible, scalable, and personalized. Despite its growing applicability, AI does not replace professionals but rather enhances their capabilities, enabling data-driven interventions and more efficient support for patients and caregivers. For AI implementation to be ethical and effective, technologies must promote autonomy, inclusion, and social participation for individuals with complex communication needs. Thus, the use of AI in online speech therapy not only enhances the patient experience but also contributes to the evolution of clinical practice, integrating innovative digital solutions into human-centered care. References Conselho Federal de Fonoaudiologia. (2020). Resolução CFFa nº 580/2020. Disponível em https://www.fonoaudiologia.org.br Sennott, S. C., Akagi, L., Lee, M., & Rhodes, A. (2019). AAC and Artificial Intelligence (AI). Topics in Language Disorders, 39(4), 389–403. https://doi.org/10.1097/tld.0000000000000197