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Colombia is currently undergoing a post-conflict transition after five decades of internal armed conflict. In response, the government has launched policies and programs to promote lasting peace and human rights, particularly targeting vulnerable populations in Development Programs with a Territorial Approach (PDET). One such region is the municipality of Ataco, in the department of Tolima, which has been severely affected by the conflict. Ataco is home to part of the Pijao Indigenous Community (PIC), whose economy is primarily based on agriculture. The community faces significant socio-economic challenges, widespread technological illiteracy, and limited access to tools for developing business plans, investment projects, or entrepreneurial initiatives. Objective: This study aims to design and implement a digital platform powered by artificial intelligence (AI) to support the PIC in formulating productive projects and business plans. The goal is to enhance economic development, increase access to funding, and improve quality of life while preserving cultural identity. Methodology: The platform architecture includes a frontend developed using the Next.js framework for scalability and robust documentation. The backend employs Xata as the Object-Relational Mapping (ORM) tool, offering a cost-effective and efficient solution for database management. The system integrates an AI-driven chatbot using APIs from OpenAI’s GPT-4 and Meta’s Llama-3, supported by tailored PROMTs to guide users through project formulation. For architectural evaluation, the Architecture Trade-Off Analysis Method (ATAM) is used to assess non-functional requirements and alignment with community goals. Results and conclusions: The AI chatbot reduces project formulation time by offering personalized guidance and auto-generating documents. It empowers Pijao Indigenous users by addressing knowledge barriers, offering a scalable and culturally adaptable solution that fosters entrepreneurship and economic development in marginalized communities. Moreover, it mitigates challenges associated with technological illiteracy and limited expertise in business development.

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AI-Driven Platform Architecture for Business Plan Formulation in Indigenous Communities: A Gender-Focused Case Study in Colombia

  • 会议论文

  • 发表日期：

    2026年

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  • Johanna Trujillo-Diaz,
  • Laura V. Tatiana I. Lopez-Ariza,
  • Victor Alonso Orellano-Calambas,
  • Cielo Tatiana Lozano

摘要

Colombia is currently undergoing a post-conflict transition after five decades of internal armed conflict. In response, the government has launched policies and programs to promote lasting peace and human rights, particularly targeting vulnerable populations in Development Programs with a Territorial Approach (PDET). One such region is the municipality of Ataco, in the department of Tolima, which has been severely affected by the conflict. Ataco is home to part of the Pijao Indigenous Community (PIC), whose economy is primarily based on agriculture. The community faces significant socio-economic challenges, widespread technological illiteracy, and limited access to tools for developing business plans, investment projects, or entrepreneurial initiatives. Objective: This study aims to design and implement a digital platform powered by artificial intelligence (AI) to support the PIC in formulating productive projects and business plans. The goal is to enhance economic development, increase access to funding, and improve quality of life while preserving cultural identity. Methodology: The platform architecture includes a frontend developed using the Next.js framework for scalability and robust documentation. The backend employs Xata as the Object-Relational Mapping (ORM) tool, offering a cost-effective and efficient solution for database management. The system integrates an AI-driven chatbot using APIs from OpenAI’s GPT-4 and Meta’s Llama-3, supported by tailored PROMTs to guide users through project formulation. For architectural evaluation, the Architecture Trade-Off Analysis Method (ATAM) is used to assess non-functional requirements and alignment with community goals. Results and conclusions: The AI chatbot reduces project formulation time by offering personalized guidance and auto-generating documents. It empowers Pijao Indigenous users by addressing knowledge barriers, offering a scalable and culturally adaptable solution that fosters entrepreneurship and economic development in marginalized communities. Moreover, it mitigates challenges associated with technological illiteracy and limited expertise in business development.