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

arXiv: https://arxiv.org/abs/2608.27524 · HTML: https://mlsanity.com/paper/2608.27524/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use.
- Builds on 11 of its 14 references that are in the map.
- First posted on arXiv 27 Aug 2026.

## Placed in

- LLM agents and tool use / [General LLM agent frameworks and benchmarks](https://mlsanity.com/agents/general-llm-agent-frameworks-and-benchmarks/)

## Builds on (most cited first, 11 of 11)

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- [Multilingual and code-switching ASR challenges for low resource Indian languages](https://mlsanity.com/paper/2104.00235/) (2021)
- [Aligning Speech to Languages to Enhance Code-switching Speech Recognition](https://mlsanity.com/paper/2403.05887/) (2024)
- [Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions](https://mlsanity.com/paper/2405.19699/) (2024)
- [PresentCoach: Dual-Agent Presentation Coaching through Exemplars and Interactive Feedback](https://mlsanity.com/paper/2511.15253/) (2025)
- [Code Switched and Code Mixed Speech Recognition for Indic languages](https://mlsanity.com/paper/2203.16578/) (2022)
- ["Hi. I'm Molly, Your Virtual Interviewer!" -- Exploring the Impact of Race and Gender in AI-powered Virtual Interview Experiences](https://mlsanity.com/paper/2408.14159/) (2024)
- [Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals](https://mlsanity.com/paper/2505.12114/) (2025)
- [Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework](https://mlsanity.com/paper/2504.00338/) (2025)
- [PersoPilot: An Adaptive AI-Copilot for Transparent Contextualized Persona Classification and Personalized Response Generation](https://mlsanity.com/paper/2602.04540/) (2026)

## Abstract (arXiv)

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.