Name in original language
ANALIA, la IA del Ositrán: Inteligencia artificial para la extracción y análisis de datos para la supervisión de infraestructuras de transporte
Initiative overview
The ANALIA initiative emerged in response to a critical operational problem in the supervision process of emergency maintenance of concessioned road infrastructure. In this process, the Supervisory Agency for Investment in Public Transport Infrastructure (OSITRAN) must analyse, within strict contractual deadlines, the information submitted by concessionaires to support the execution of activities such as the removal and transport of materials resulting from landslides and slope failures. This information is provided through heterogeneous PDF documents, including both handwritten records (Daily Dump Truck Transport Control Reports – PDCTV) and structured digital documents (Emergency Notification Forms – FNE).
Until 2024, the extraction and incorporation of data into a structured database, as well as the processing and analysis of these documents, were carried out manually, generating a high operational burden, risk of errors, and bottlenecks in the issuance of technical decisions. In response, OSITRAN designed and implemented ANALIA as a solution based on artificial intelligence and process automation, using exclusively the tools available within its institutional environment, primarily Microsoft Office 365.
The initiative integrates artificial intelligence models capable of capturing relevant data from both handwritten and digital documents, automated workflows to incorporate data into previously defined structures and process them, as well as mechanisms that automatically apply technical validation criteria established by the institution’s supervision teams. In this way, information is transformed into reliable and traceable data that directly supports technical analysis and regulatory decision-making.
The main objectives of ANALIA are to significantly reduce the manual work associated with data registration and analysis, improve the operational efficiency of the supervisory team, strengthen process traceability, and ensure timely compliance with contractual deadlines. Additionally, the initiative seeks to free up technical specialists’ time so they can focus on higher-value-added tasks, such as in-depth analysis and comprehensive evaluation of contractual compliance.
The initiative is currently operational and has demonstrated concrete results in terms of efficiency and quality within the supervision process. ANALIA has been designed with a modular and scalable approach, enabling its institutionalisation and potential replication across other concessions and supervision processes facing similar documentary information management challenges. In the future, the model may be expanded to other areas of OSITRAN’s supervisory function.
