Follow this article to understand the importance of this process for your company.<\/p>\n
O que \u00e9 governan\u00e7a de intelig\u00eancia artificial?<\/h2>\n
THE AI governance<\/strong> \u00e9 o conjunto estruturado de processos, padr\u00f5es e diretrizes que garantem o desenvolvimento e a opera\u00e7\u00e3o de sistemas de intelig\u00eancia artificial de forma segura, \u00e9tica e transparente.<\/p>\n In other words establish supervision mechanisms<\/strong> that deal with risks such as algorithmic bias, privacy violations and misuse, while promoting innovation and building trust with stakeholders.<\/p>\n An effective governance structure rests on four fundamental pillars:<\/p>\n The absence of governance transforms AI from a strategic tool into a business risk. Three specific phenomena help illustrate this danger.<\/p>\n The global regulatory landscape is in full transformation. Two legal frameworks require special attention from business leaders in Brazil: the EU AI Act<\/a> (Europe) and PL 2338\/2023<\/a> (Brazil), which evolved into the PL 6237\/2025<\/a>.<\/p>\n Considered the world's first comprehensive regulatory framework for AI, it adopts a risk-based approach. High-risk systems face strict governance, risk management and transparency requirements, while uses considered to be of unacceptable risk are completely prohibited. The penalties of up to EUR 35 million or 7% of annual worldwide turnover<\/strong>.<\/p>\n It establishes guidelines for the development and application of AI systems, with an emphasis on the protection of fundamental rights, transparency and accountability. The proposal provides for classification of systems by risk level<\/strong> and requires governance measures commensurate with the criticality of the applications.<\/p>\n Finally, companies need to understand that regulatory compliance in AI is not just a legal issue, it also involves a strong competitive edge. Organizations that establish proactive governance<\/strong> constroem confian\u00e7a com clientes, investidores e reguladores.<\/p>\n The implementation of AI governance faces two central obstacles<\/strong>integration with legacy systems and building a data-driven culture.<\/p>\n For example, in the context of companies operating with ERPs, such as Oracle JD Edwards<\/a>, In addition, we need to ensure that AI is integrated securely and in a way that is compatible with the existing infrastructure.<\/p>\n Data culture is equally critical. More than just training technical leaders, business managers need to be trained to understand the capabilities, limitations and ethical implications of AI.<\/p>\n One Gartner report<\/a> indicates that by 2030, around 50% of the failures in the implementation of AI agents will be related to insufficient governance policies.<\/p>\n Com mais de 40 anos no mercado, a MPL consolidou expertise em integrar tecnologias avan\u00e7adas a ecossistemas empresariais complexos. A unidade MPL Inova, reconhecida como vencedora do pr\u00eamio LATAM de Inova\u00e7\u00e3o com IA, atua como advisor estrat\u00e9gico para empresas que buscam implementar intelig\u00eancia artificial com governan\u00e7a, compliance e retorno tang\u00edvel.<\/p>\n With an approach focused on strategic AI consulting<\/a>, nossos especialistas apoiam lideran\u00e7as na cria\u00e7\u00e3o de um roadmap que prioriza projetos de alto valor, garantindo que cada solu\u00e7\u00e3o, seja um agente de atendimento ou uma automa\u00e7\u00e3o complexa, nas\u00e7a sob um framework de conformidade e seguran\u00e7a.<\/p>\n Thus, in development of AI agents<\/strong>, s\u00e3o constru\u00eddas solu\u00e7\u00f5es customizadas, compat\u00edveis com as diretrizes estabelecidas para prote\u00e7\u00e3o e conformidade dos dados usados.<\/p>\n Diferente de abordagens puramente experimentais, a MPL Inova carrega o DNA de quem entende da atua\u00e7\u00e3o em ambientes sens\u00edveis, unindo a the agility of disruptive technologies to the robustness needed to integrate AI<\/strong> to business processes and ERPs, so that innovation is scalable but, above all, stable.<\/p>\n AI governance is a continuous process of adaptation and improvement. Companies that establish robust governance structures from the outset gain sustainable competitive advantage, as they build trust with stakeholders, reduce regulatory risks and create solid foundations for scaling innovation.<\/p>\n The regulatory landscape is consolidating, both globally and in Brazil. Organizations that anticipate these movements, implementing proactive rather than reactive governance, will be prepared not only to meet legal requirements, but to turn compliance into a strategic differentiator.<\/p>\n That's why the foundation for sustainable growth with AI lies in governance. It's not about putting the brakes on innovation, but ensuring that it is built on solid foundations of ethics, transparency and accountability.<\/p>\n Is your company ready for this new era of AI? Talk to the experts at MPL Inova<\/a> and structure your governance now.<\/p>\n \u00c9 o conjunto de diretrizes e processos que garante que a intelig\u00eancia artificial seja usada de forma \u00e9tica, segura e transparente, alinhando a inova\u00e7\u00e3o tecnol\u00f3gica aos objetivos e normas da empresa.<\/p>\n The main risks include the leakage of confidential data (Shadow AI<\/em>), automatic decisions with discriminatory biases, regulatory compliance failures and irreversible damage to brand reputation.<\/p>\n As leis exigem que as empresas tenham transpar\u00eancia sobre o uso de algoritmos, realizem avalia\u00e7\u00f5es de impacto e garantam a seguran\u00e7a dos dados, prevendo san\u00e7\u00f5es severas para sistemas considerados de alto risco.<\/p>\n Pelo contr\u00e1rio. Uma governan\u00e7a bem estruturada fornece um caminho seguro para que a empresa possa escalar projetos de IA sem interrup\u00e7\u00f5es por crises de seguran\u00e7a ou quest\u00f5es legais.<\/p>","protected":false},"excerpt":{"rendered":" THE artificial intelligence<\/a> is no longer a future promise but a reality in business operations. But this transformation brings with it a dilemma about how to balance innovation with security<\/a>? As empresas que implementam IA sem governan\u00e7a adequada enfrentam riscos operacionais, reputacionais e regulat\u00f3rios que podem comprometer…<\/p>","protected":false},"author":30,"featured_media":29979,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"wds_primary_category":0,"footnotes":""},"categories":[331,328],"tags":[],"class_list":["post-29967","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ias","category-inova"],"_links":{"self":[{"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/posts\/29967","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/users\/30"}],"replies":[{"embeddable":true,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/comments?post=29967"}],"version-history":[{"count":2,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/posts\/29967\/revisions"}],"predecessor-version":[{"id":29978,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/posts\/29967\/revisions\/29978"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/media\/29979"}],"wp:attachment":[{"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/media?parent=29967"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/categories?post=29967"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/tags?post=29967"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
What are the main risks of ungoverned AI?<\/h2>\n
\n
\u00a0What are the main regulatory acts for AI governance?<\/h2>\n
EU AI Act<\/h3>\n
PL 6237\/2025<\/h3>\n
How to overcome the challenges of implementing AI governance?<\/h2>\n
![\"Image](\"https:\/\/mpl.com.br\/wp-content\/uploads\/2026\/04\/8460708-MPL-Artigo_02-Meio_Artigo.png\")
<\/p>\nComo a MPL Inova ajuda sua empresa na governan\u00e7a de IA?<\/h2>\n
What's the next step for effective AI governance?<\/h2>\n
Frequently asked questions about AI governance<\/h2>\n
What is AI governance in practice?<\/h3>\n
What are the biggest risks of ignoring governance?<\/h3>\n
Como as regula\u00e7\u00f5es para intelig\u00eancia artificial podem impactar a minha empresa?<\/h3>\n
Can AI governance slow down innovation?<\/h3>\n