Agricultural public policy analysis in Mexico is hampered by data fragmentation across 32 decentralized state agencies. This study presents the Mexican Agricultural Policy Observatory (MAPO), a digital governance tool developed using R-Shiny to centralize and visualize policy information. Through a systematic audit and functional classification adapted from World Bank frameworks, 429 were analyzed. Results indicate a significant concentration in financing (42%) and a critical gap in commercialization support. MAPO enhances transparency and enables evidence-based policymaking by cross-referencing policy data with production metrics, facilitating the identification of regional priorities and strategic opportunities for integrated agricultural development.

Objective: This paper presents an analysis of the agroindustry in Guanajuato, Mexico, regarding the current and potential use of the capabilities of Research and Technological Development of digital transformation. Theoretical Framework: Our Reference Framework takes concepts and theories that contrast the importance of the global economy and how the activity of the agroindustrial sector contributes, contrasting the adoption of technology and innovation by these companies, national statistical data and how these technologies impact the efficiency and productivity of these companies. Method: This work is developed through a methodological approach of action research, collecting empirical information through the application of a questionnaire to more than 100 companies and conducting interviews with strategic actors in the agroindustrial sector of the State of Guanajuato. Results and Discussion: The findings are relevant and contribute to the state of the art and science, as it allows us to propose strategies that improve the competitiveness of companies in this sector, which are often behind in the adoption and use of technologies compared to industrial sectors such as automotive, aerospace, software development. Universities can act as articulators of the absorption of technology and knowledge by companies. Research implications: This research has limitations in its scope, since it describes only the state context, generating a line of research to contrast with the other states of the Mexican Republic. Originality/Value: The original contribution of our study contributes to the description of the potential for linking academics and companies, generating an impact on the increase in productivity and competitiveness of companies.

Public administrations increasingly publish programmatic and sectoral data, yet fragmented formats, inconsistent terminology, and uneven documentation limit their joint use. This article presents the design and functional evaluation of the Mexican Agricultural Policy Observatory (MAPO), a digital artifact that integrates agricultural support programs with territorial and production indicators for Mexico’s 32 states. Following a design science research approach, the study constructed a 429-record documentary inventory and retained 407 records with both a recognized state and a validated primary category as the main analytical base. This base was used to generate a 32-by-8 descriptive benchmarking matrix, interactive maps, state profiles, downloadable reports, and a structured-context generative artificial intelligence module. Input acquisition, financing, and technification accounted for 71.01% of the comparable analytical base, while state comparisons revealed marked variation in program counts and thematic diversity. A bounded audit of 50 GenAI outputs showed that prompt constraints did not eliminate causal language, policy prescriptions, or count-to-impact equivalences. MAPO separates deterministic calculations from generative interpretation and requires human review before narrative outputs are used. The study contributes a replicable approach to traceable data integration and design principles for AI-assisted public-sector observatories. MAPO supports exploration, communication, and agenda setting; it does not evaluate program impact, budget adequacy, or beneficiary coverage.