  In the rapidly evolving field of assistive technology (AT), ensuring that
products meet national and international standards is essential for user
safety, efficacy, and accessibility. In this vision paper, we introduce
CompliAT, a pioneering framework designed to streamline the compliance process
of AT product specifications with these standards through the innovative use of
Large Language Models (LLMs). CompliAT addresses three critical tasks: checking
terminology consistency, classifying products according to standards, and
tracing key product specifications to standard requirements. We tackle the
challenge of terminology consistency to ensure that the language used in
product specifications aligns with relevant standards, reducing
misunderstandings and non-compliance risks. We propose a novel approach for
product classification, leveraging a retrieval-augmented generation model to
accurately categorize AT products aligning to international standards, despite
the sparse availability of training data. Finally, CompliAT implements a
traceability and compliance mechanism from key product specifications to
standard requirements, ensuring all aspects of an AT product are thoroughly
vetted against the corresponding standards. By semi-automating these processes,
CompliAT aims to significantly reduce the time and effort required for AT
product standards compliance and uphold quality and safety standards. We
outline our planned implementation and evaluation plan for CompliAT.
