As Portarias SGD/MGI Nº 6.618/2024 e Nº 473/2026 formalizam as iniciativas do Núcleo de IA. Como tornar essas iniciativas citáveis por agentes de IA

O SIAEF converte cada iniciativa das portarias em uma tripla sujeito-propriedade-valor (ex: Iniciativa_6.7 → prazo → 2026), no mesmo formato determinístico usado nos itens SIGTAP do determinar.ia.br.

National Data Infrastructure
• Action 27: Sovereign Cloud
Private or community cloud infrastructure managed exclusively by public agencies or companies.
» Challenges: to protect confidential data, guarantee privacy, availability, and appropriate 
management thereof.
» Expected impacts: increase in the security and sovereignty of critical/sensitive data; storage 
of critical/sensitive data in national territory; and guarantee of data sovereignty and privacy.
• Action 28: Data Cataloging, Governance, and Use Strategy
Establishment of a data governance policy, expansion of maturity in data use, and cataloging of datasets 
within the federal government.
» Challenge: to treat public data as strategic assets to support the solution of major societal 
challenges.
» Expected impacts: institutionalization and prioritization of the strategic use of data in federal 
agencies and entities; expansion of the governance, transparency, and reuse of governmental data.
• Action 29: Integration and Strategic Reuse of Data
Implement interoperability among governmental agencies and entities to promote the efficient reuse 
and sharing of data.
» Challenge: to promote data sharing to avoid duplication of citizen efforts in compliance 
with the LGPD.
» Expected impacts: simplification of access to digital public services; reduction of bureaucracy 
and resource savings through the implementation of the “once only” principle and interoperability 
among governmental agencies.
• Action 30: Personalization of Public Services
Personalization of public services, to offer the citizen contextual, targeted, and proactive content.
» Challenge: to expand the offering of content from the various federal public agencies and 
entities to citizens in a personalized and proactive manner.
» Expected impact: expansion of citizenship, as the citizen will have, in advance and through 
personalized messages, information about their rights and obligations.
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• Action 31: Privacy and Information Security in the Public Sector
Set of comprehensive privacy and information security actions in federal agencies.
» Challenge: to guarantee the privacy and security of citizens’ information in the provision of 
public services.
» Expected impacts: strengthening of privacy and information security; increase in the resilience 
of public institutions; and increase in the degree of citizen trust in the use of digital public 
services.
• Action 32: Infrastructure for the Use and Application of AI in Education
Construction of a unified educational database.
» Challenges: application of AI in education based on the organization, integration, and crossing 
of educational data, access to data in an anonymized way for researchers and accredited public.
» Expected impacts: greater privacy and information security; increase in the resilience of public 
institutions; and increase in the degree of citizen trust in the use of digital public services.
AI Solutions for Public Services Program 
• Action 33: AI Solutions for the Government
Launch of periodic calls for proposals to develop AI solutions that meet public sector challenges and 
foster govtech startups.
» Challenge: to improve the quality and efficiency of public services using AI for the analysis 
of the large volume of available governmental data.
» Expected impacts: greater efficiency and effectiveness of public services provided to the 
population; increased AI adoption in the public sector; and development of startups (govtechs) 
focused on the AI area.
• Action 34: Development of AI for Cybersecurity in the Government
Development of AI systems to improve the detection and response to cybersecurity incidents 
in the government.
» Challenge: to increase the response capacity to cyberattacks through the use of AI tools.
» Expected impacts: increase in the ability to quickly analyze large amounts of data; identification 
of abnormal behavior; detection of malicious activities.
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Brazilian Artificial Intelligence Plan
• Action 35: Development of AI for the Improvement of Public Procurement
Development of AI tools to optimize public procurement processes.
» Challenge: to identify patterns in public procurement focusing on process agility, cost reduction, 
error and fraud correction, and increased transparency and effectiveness.
» Expected impacts: improvement in the quality, efficiency, and effectiveness of public 
procurement processes; and promotion of the ecosystem and the development of AI solutions 
in the Country.
• Action 36: AI for Education Resource Management
Use of AI for the simplification and automation of management and accountability processes for financial 
resources from FNDE transfers and the Direct School Money Program.
» Challenges: to modernize and optimize management, with monitoring and accountability 
through AI.
» Expected impact: greater agility in the management and accountability of education resources.
• Action 37: Use of AI to Improve Human Resource Management Processes
Development and use of AI in projects related to the Human Resource Management area in the public service.
» Challenge: to increase operational and management efficiency of human resources.
» Expected impacts: improvement in the quality and efficiency of administrative processes; 
and reduction of costs caused by human errors.
• Action 38: Use of AI to Improve Union Asset Management Processes
AI for the Management of Union Assets.
» Challenges: to improve the management and monitoring of Union real estate, such as 
valuation, identification, and incorporation of new properties; and to support the inspection 
operations of Union real estate.
» Expected impacts: improvement in the quality and efficiency of administrative processes, 
and reduction of costs caused by human errors.
• Action 39: Support for the Development of AI Projects in State-Owned Enterprises
Prospecting and support for the structuring of strategic projects related to artificial intelligence in state
owned enterprises.
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» Challenge: to identify opportunities for the development of AI projects in state-owned 
enterprises aligned with the achievement of public policy objectives.
» Expected impacts: improvement of state-owned enterprise processes; and contribution to 
fostering the ecosystem and the development of AI solutions in the Country.
• Action 40: SIPEC – Intelligent System for Extreme Climate Prediction
Development of an artificial intelligence-based system for the prediction of extreme climate events, with 
a high degree of reliability and specific to Brazilian characteristics.
» Challenges: to predict extreme climate events and mitigate the damage caused to society.
» Expected impact: improvement of Brazil’s capacity to predict and prepare for extreme climate 
events, in order to minimize their adverse impacts on the population.