Abstract
Defining products for regulated industries may be challenging, as some tools, such as passive document editors, static forms, and general-purpose conversational agents, can lack adaptive, domain-specific guidance and may be unable to produce auditable records. Systems and methods are described that can assist with these challenges using a conversational artificial intelligence system. The system can employ a large language model and a dynamic questioning engine to interpret a user's natural language responses. By referencing a configurable knowledge base of domain-specific information, for example regulatory frameworks, the engine can adaptively adjust its line of questioning. From the elicited information, the system can concurrently generate formal product definition documents and a corresponding auditable interaction log. This process can provide a structured, interactive method for developing product definitions while creating a verifiable record to support internal governance and regulatory compliance.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Patel, Bakul; Singh, Teginder; and Neelakandan, Ramakrishnan, "System for Generating Auditable Product Definitions with an Adaptive Conversational Agent", Technical Disclosure Commons, (November 17, 2025)
https://www.tdcommons.org/dpubs_series/8887