SOURCE-LINKED INTELLIGENCE
SETU: An Agentic Ecosystem for Multilingual, Persona-Aware Communication Coaching
Corporate training teams need scalable and explainable tools to improve workforce communication in multilingual settings. Existing systems often score text, audio, or video in isolation, or produce black-box outputs that are difficult to audit for coaching use. This paper presents SETU, an agentic ecosystem for corporate communication coaching aimed at recruiters, frontline sales professionals and training units who prepare for audience specific conversations. SETU is designed for two scoped scenarios: (i) recruiter-candidate eligibility-and-interest calls with persona context and (ii) sales p
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T13:46:13.000Z
First collected: 2026-09-21T08:32:02.028Z. This is not the publication date.