Mexico moves toward an AI policy aimed at developing state capabilities, training specialized talent and building national technological infrastructure. The strategy, coordinated by the Agency for Digital Transformation and Telecommunications (ATDT), seeks that the State can create, adapt, supervise and operate AI systems, rather than limit itself to using solutions developed by third parties.
The National AI Plan is organized around three priorities: an ethical and legal framework, strengthening public software and capabilities, and a strategic infrastructure for technological sovereignty. This orientation also relates to the digitization of procedures, the protection of public data, and collaboration with universities, companies and technical communities.
A policy based on software, talent and infrastructure
The AI Factory concentrates part of the government's development efforts and brings together specialists to create tools for citizen assistance, information analysis and support for public decisions. Among the identified projects are Customs Semaphore, which helps prioritize inspections, and 24/7 Window, an assistant to consult procedures in everyday language.
The training component seeks to expand the availability of technical profiles. The Public AI Training Center offers training in artificial intelligence, data analysis, Java, cloud and cybersecurity, with participation from tech companies. The first generation includes 10,000 students and the projected capacity reaches 25,000 certifications annually.
The infrastructure will be another central element. Coatlicue is envisioned as a public supercomputer for research, tax and customs analysis, health, energy, agriculture and climate predictions. The ATDT also contemplates a national network of data centers and a government cloud to store, process and protect public information.
What it means for Mexican companies
The new technological environment can favor collaboration projects between public institutions, software providers and companies that need to adapt their operations to more automated systems. However, adoption will not rely solely on having infrastructure: it will also be necessary to integrate data, establish access controls, measure results and maintain human oversight over the relevant processes.
For organizations that do not need to develop their own models, a SaaS platform can represent a more efficient path to incorporate automation and AI capabilities without building the entire infrastructure internally. At Onix Board we integrate CMS, CRM, multichannel conversational automation, ecommerce management, AI-assisted content generation and flow- and channel-based analytics.
This proposal allows centralizing conversations, campaigns, contacts, products and inventories, as well as connecting channels such as WhatsApp Business, Facebook, Instagram and Telegram from a unified inbox. It also offers tools to generate and translate content, analyze interactions and measure the performance of different workflows.
The national AI strategy also outlines principles of transparency, explainability, non-discrimination, proportionality, human oversight and shared responsibility. For companies, this reinforces the importance of choosing solutions with clear criteria for security, governance, data integration and portability.
Mexico is building the conditions for artificial intelligence to become a permanent part of public and private operation. Companies that start with concrete use cases, define indicators and connect technology to verifiable results will be able to advance with greater control. If your organization seeks to integrate automation, AI and multichannel management.