AI-Powered Compliance: Accelerating efficiency and decision-making for Compliance related inquiries.

Authors

Amberly R. Rodriguez, Southern Methodist UniversityFollow

Abstract

This research examines the potential of an AI-powered chatbot to streamline compliance workflows by reducing the time and effort required to locate and interpret complex compliance documents. The prototype integrates a centralized MySQL-based document repository, a contextual document querying engine, and a Streamlit web interface, enabling employees to retrieve accurate, document-backed answers within seconds. The system supports both stored and user-uploaded documents, with features such as automated summarization and source citations to enhance transparency and trust. Manual evaluation demonstrated notable gains in efficiency and accuracy compared to traditional search methods, with strong potential to improve adherence to compliance policies. Future work will focus on scaling document coverage, implementing automated performance testing, and strengthening ethical safeguards, including privacy protections and explainability features.

Recommended Citation

Rodriguez, Amberly R. (2025) "AI-Powered Compliance: Accelerating efficiency and decision-making for Compliance related inquiries.," SMU Data Science Review: Vol. 9: No. 2, Article 4.
Available at: https://scholar.smu.edu/datasciencereview/vol9/iss2/4

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License