UVMAF: A Universal Vertical Multilingual Agent Framework for Domain-Specific Autonomous Business Operations in Indian SMEs
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This paper introduces UVMAF—the Universal Vertical Multilingual Agent Framework—a novel hierarchical multi-agent architecture for domain-specific autonomous business operations in Indian SMEs. The framework integrates domain-specialised reasoning, real-time multilingual processing across twelve Indian languages, and vertical orchestration logic. UVMAF employs a three-tier agent topology comprising a Strategic Orchestrator Agent (SOA), Domain Expert Agents (DEAs), and Language Execution Agents (LEAs). Evaluated across four SME verticals—retail, agri-commodity trading, healthcare, and textile export compliance—UVMAF achieves 91.4% task completion rate and 89.7% multilingual instruction-following accuracy. DOI: https://doi.org/10.5281/zenodo.20503150
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- DOI
- 10.5281/zenodo.20503150
- Other
- https://orcid.org/0009-0005-3643-2942
Dates
- Created
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2025-01-01
- Submitted
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2026-04-09
- Available
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2026-06-02
References
- [1] Ministry of MSME, Annual Report 2023-24, Government of India, 2024. [2] Wu et al., AutoGen, arXiv:2308.08155, 2023. [3] Hong et al., MetaGPT, arXiv:2308.00352, 2023. [4] Park et al., Generative Agents, ACM UIST, 2023. [5] Devlin et al., BERT, NAACL-HLT, 2019. [6] Conneau et al., XLM-R, ACL, 2020. [7] Kakwani et al., IndicNLPSuite, EMNLP, 2020. [8] Gala et al., IndicTrans2, TMLR, 2023.