Towards AI-Enabled Training Needs Analysis Using Dual AI-Agent Collaboration

A comprehensive Training Needs Analysis (TNA) is essential for effective HR development and organisational growth. However, traditional approaches often fall short due to limitations in scale, labour intensity, resource constraints, or expertise. To address these challenges, we propose an AI-driven automated platform for conducting TNA at scale with unstructured data. Our prototype features a dual-agent system, where the Disseminator Agent performs knowledge extraction and deep data analysis, followed by the Formulator Agent producing novel intellectual ideas, actionable insights, and formatted TNA reports, facilitating final human verification, attestation, and decision-making. We also outline a pragmatic plan for AI monitoring and platform evaluation—critical components for successful AI adoption in industrial settings. Our proposed design is currently being implemented for evaluation and for its future deployment in a business setting.