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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.26482 |
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| _version_ | 1866909816847335424 |
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| author | Lobo, Paula Reyero Johnson, Kevin Buchanan, Bill Shardlow, Matthew Williams, Ashley Attwood, Samuel |
| author_facet | Lobo, Paula Reyero Johnson, Kevin Buchanan, Bill Shardlow, Matthew Williams, Ashley Attwood, Samuel |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_26482 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | TVS Sidekick: Challenges and Practical Insights from Deploying Large Language Models in the Enterprise Lobo, Paula Reyero Johnson, Kevin Buchanan, Bill Shardlow, Matthew Williams, Ashley Attwood, Samuel Artificial Intelligence 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. |
| title | TVS Sidekick: Challenges and Practical Insights from Deploying Large Language Models in the Enterprise |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2509.26482 |