  In the age of information overload, professionals across various fields face
the challenge of navigating vast amounts of documentation and ever-evolving
standards. Ensuring compliance with standards, regulations, and contractual
obligations is a critical yet complex task across various professional fields.
We propose a versatile conversational AI assistant framework designed to
facilitate compliance checking on the go, in diverse domains, including but not
limited to network infrastructure, legal contracts, educational standards,
environmental regulations, and government policies. By leveraging
retrieval-augmented generation using large language models, our framework
automates the review, indexing, and retrieval of relevant, context-aware
information, streamlining the process of verifying adherence to established
guidelines and requirements. This AI assistant not only reduces the manual
effort involved in compliance checks but also enhances accuracy and efficiency,
supporting professionals in maintaining high standards of practice and ensuring
regulatory compliance in their respective fields. We propose and demonstrate
AuditNet, the first conversational AI security assistant designed to assist IoT
network security experts by providing instant access to security standards,
policies, and regulations.
