Follow this article to understand the importance of this process for your company.<\/p>\n
What is artificial intelligence governance?<\/h2>\n
THE AI governance<\/strong> is the structured set of processes, standards and guidelines that guarantee the development and operation of artificial intelligence systems in a safe, ethical and transparent manner.<\/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> build trust with customers, investors and regulators.<\/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 With more than 40 years in the market, MPL has consolidated its expertise in integrating advanced technologies into complex business ecosystems. The MPL Inova unit, recognized as the winner of the LATAM AI Innovation Award, acts as a strategic advisor for companies seeking to implement artificial intelligence with governance, compliance and tangible returns.<\/p>\n With an approach focused on strategic AI consulting<\/a>, Our experts support leaders in creating a roadmap that prioritizes high-value projects, ensuring that each solution, whether it's a service agent or complex automation, is born under a compliance and security framework.<\/p>\n Thus, in development of AI agents<\/strong>, customized solutions are built, compatible with the guidelines established for the protection and compliance of the data used.<\/p>\n Unlike purely experimental approaches, MPL Inova carries the DNA of those who understand how to operate in sensitive environments, combining the 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 It is the set of guidelines and processes that ensures that artificial intelligence is used ethically, safely and transparently, aligning technological innovation with the company's objectives and standards.<\/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 The laws require companies to be transparent about the use of algorithms, carry out impact assessments and guarantee data security, with severe penalties for systems considered to be high risk.<\/p>\n On the contrary. Well-structured governance provides a secure path for the company to scale AI projects without interruption from security crises or legal issues.<\/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":26,"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\/26"}],"replies":[{"embeddable":true,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/comments?post=29967"}],"version-history":[{"count":3,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/posts\/29967\/revisions"}],"predecessor-version":[{"id":30341,"href":"https:\/\/mpl.com.br\/en\/wp-json\/wp\/v2\/posts\/29967\/revisions\/30341"}],"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
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\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>\nHow does MPL Inova help your company with AI governance?<\/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
How can artificial intelligence regulations impact my company?<\/h3>\n
Can AI governance slow down innovation?<\/h3>\n