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

Paula Reyero Lobo, Kevin Johnson, Bill Buchanan, Matthew Shardlow, Ashley Williams, Sam Attwood


Abstract
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.
Anthology ID:
2025.ethicalllms-1.3
Volume:
Proceedings of the First Workshop on Ethical Concerns in Training, Evaluating and Deploying Large Language Models
Month:
September
Year:
2025
Address:
Varna, Bulgaria
Editors:
Damith Premasiri, Tharindu Ranasinghe, Hansi Hettiarachchi
Venues:
EthicalLLMs | WS
SIG:
Publisher:
INCOMA Ltd., Shoumen, Bulgaria
Note:
Pages:
17–26
Language:
URL:
https://aclanthology.org/2025.ethicalllms-1.3/
DOI:
Bibkey:
Cite (ACL):
Paula Reyero Lobo, Kevin Johnson, Bill Buchanan, Matthew Shardlow, Ashley Williams, and Sam Attwood. 2025. TVS Sidekick: Challenges and Practical Insights from Deploying Large Language Models in the Enterprise. In Proceedings of the First Workshop on Ethical Concerns in Training, Evaluating and Deploying Large Language Models, pages 17–26, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.
Cite (Informal):
TVS Sidekick: Challenges and Practical Insights from Deploying Large Language Models in the Enterprise (Reyero Lobo et al., EthicalLLMs 2025)
Copy Citation:
PDF:
https://aclanthology.org/2025.ethicalllms-1.3.pdf