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TVS Sidekick: Challenges and Practical Insights from Deploying Large Language Models in the Enterprise

arXiv 2509.26482 ↗First posted 30 Sep 2025cs.AIcited by 0

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Abstract (arXiv)

Many enterprises are increasingly adopting Artificial Intelligence (AI) to make internal processes more competitive and efficient. In response to public concern and new regulations for the ethical and responsible use of AI, implementing AI governance frameworks could help to integrate AI within organisations and mitigate associated risks. However, the rapid technological advances and lack of shared ethical AI infrastructures creates barriers to their practical adoption in businesses. This paper presents a real-world AI application at TVS Supply Chain Solutions, reporting on the experience developing an AI assistant underpinned by large language models and the ethical, regulatory, and sociotechnical challenges in deployment for enterprise use.

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References · 13

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2020Language Models are Few-Shot Learnerscited by 32,199
  4. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  5. 2022LaMDA: Language Models for Dialog Applicationscited by 1,218
  6. 2024A Survey on the Memory Mechanism of Large Language Model based Agentscited by 622
  7. 2023Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyondcited by 409
  8. 2023Augmented Language Models: a Surveycited by 398
  9. 2024Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Toolingcited by 27
  10. 2024Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)cited by 20
  11. 2024Symbolic Working Memory Enhances Language Models for Complex Rule Applicationcited by 17
  12. 2024"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practicescited by 14
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  1. 2025"I Would Never Trust Anything Western": Kumu (Educator) Perspectives on Use of LLMs for Culturally Revitalizing CS Education in Hawaiian Schoolscited by 3

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