Autonomous intent-based WAN management using a local Large Action Model for Latin American operators

Organization

Universidad de Antioquia

Tipo

Academic Sector

Años

2026

Paises

Colombia

WAN operators in Latin America and the Caribbean face challenges related to budget constraints, limited availability of specialized technical staff, and dependence on commercial solutions to automate network management. In this context, the use of cloud-based language models can also introduce recurring costs, reliance on external connectivity, and risks related to data sovereignty. This research explores the use of a locally deployed Large Action Model to interpret natural language instructions and translate them into concrete actions on WAN infrastructure. The work will be carried out on a reproducible experimentation platform and will evaluate different levels of complexity, ranging from diagnostics and configuration adjustments to traffic engineering and incident response.