Traınıng and Development of Varıous Open-Source Artıfıcıal Intellıgence Models for Busıness Process Automatıon
Session
Computer Science and Communication Engineering
Description
AI is reshaping traditional businesses into sustainable operations, so it can be used to optimize resource utilization, automate processes for improved efficiency This study aims to explore the potential of open-source artificial intelligence (AI) models for automating and streamlining business processes. Focusing on a company offering a wide range of digital services (websites, applications, ERP, CRM, marketing), the study develops and trains two different AI models, specific to the needs of the business. The main goal is to create an AI “agent” that can interpret natural language commands and activate pre-configured automations through the n8n platform. These automated operations include launching marketing campaigns, initial website setup, collecting marketing statistics, and automating content creation for blogs and knowledge bases, collaborating with other AI models accessible through APIs. The paper compares the performance and efficiency of the selected open-source models after fine-tuning with real business data, reducing manual and repetitive tasks, and increasing operational efficiency.
Keywords:
Open-Source Artificial Intelligence; Business Process Automation; Fine-tuning AI Model; Large Linguistic Models (LLMs)
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-982-41-2
Location
UBT Lipjan, Kosovo
Start Date
25-10-2025 9:00 AM
End Date
26-10-2025 6:00 PM
DOI
10.33107/ubt-ic.2025.98
Recommended Citation
Hoxha, Senada Bushati and Guma, Besmir, "Traınıng and Development of Varıous Open-Source Artıfıcıal Intellıgence Models for Busıness Process Automatıon" (2025). UBT International Conference. 30.
https://knowledgecenter.ubt-uni.net/conference/2025UBTIC/CS/30
Traınıng and Development of Varıous Open-Source Artıfıcıal Intellıgence Models for Busıness Process Automatıon
UBT Lipjan, Kosovo
AI is reshaping traditional businesses into sustainable operations, so it can be used to optimize resource utilization, automate processes for improved efficiency This study aims to explore the potential of open-source artificial intelligence (AI) models for automating and streamlining business processes. Focusing on a company offering a wide range of digital services (websites, applications, ERP, CRM, marketing), the study develops and trains two different AI models, specific to the needs of the business. The main goal is to create an AI “agent” that can interpret natural language commands and activate pre-configured automations through the n8n platform. These automated operations include launching marketing campaigns, initial website setup, collecting marketing statistics, and automating content creation for blogs and knowledge bases, collaborating with other AI models accessible through APIs. The paper compares the performance and efficiency of the selected open-source models after fine-tuning with real business data, reducing manual and repetitive tasks, and increasing operational efficiency.