System for Generating Auditable Product Definitions with an Adaptive Conversational Agent
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.