SETU: An Agentic Ecosystem for Multilingual, Persona-Aware Communication Coaching

Abstract: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 pitches with target-audience adaptation; owing to limited evaluation resources, this paper reports results on scenario (ii) only. The ecosystem decomposes analysis into specialized video, audio-speech, text-relevance, scoring, notification and reporting agents coordinated through trust-aware orchestration. It generates modality-attributed coaching reports for formative training, with human reviewers retaining final judgment. The name SETU (bridge in several Indic languages) reflects the goal of bridging communication gaps across regional languages and audience expectations.

Artificial Intelligence (cs.AI)

arXiv:2608.27524 [cs.AI]

(or arXiv:2608.27524v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2608.27524 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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