Indra First Spanish Company to Get AENOR Responsible AI Certification with Microsoft
Indra Group becomes the first Spanish firm to earn AENOR's Responsible AI certification for Microsoft-based agents, validating real-world controls and ethical AI deployment in corporate settings.
Indra Group receives AENOR's 'Responsible AI Technology based on Microsoft Tools' certification, a first for a Spanish firm. The certification validates practical application of responsible AI principles in real-world corporate agents, not just theoretical frameworks. It covers control, traceability, guardrails, FinOps, data quality, and objective evidence across the AI agent lifecycle. Use cases include an onboarding agent and a Normative Supervisor agent, built with Microsoft Copilot Studio. On July 13, 2026, a significant milestone was reached in the Spanish tech landscape. Indra Group officially received the ‘Responsible AI Technology based on Microsoft Tools’ certification from AENOR, making it the first company in the country to achieve this distinction. The ceremony took place at AENOR’s headquarters in Madrid, bringing together top executives from all three organizations to underscore their shared commitment to ethical and scalable artificial intelligence. The certification isn’t just a piece of paper—it’s a practical validation. It confirms that Indra’s AI agents, built with Microsoft technology, meet rigorous criteria for responsible deploymentin complex, real-world corporate environments. The event featured Paco Salcedo, President of Microsoft Spain; Rafael García Meiro, CEO of AENOR; and Luis Navarrete, Indra’s Global CIO, who all highlighted the collaborative effort behind the achievement. What the Certification Actually CoversThis certification, officially named ‘Responsible AI Technology based on Microsoft Tools’, evaluates how well organizations apply responsible AI principles in practice. It goes beyond theoretical frameworks by assessing control, traceability, guardrails, cost management (FinOps), data quality, and the generation of objective evidencethroughout the entire lifecycle of AI agents. The methodology used is Indra’s own, integrated into their Enterprise AI Operating Model (EAOM), which aims to industrialize agent development in a standardized and measurable way. According to the company, the rapid expansion of generative AI and AI agents has fundamentally changed how businesses operate, make decisions, and deliver services. This context pushes companies to move from abstract guidelines to operational models that can actually demonstrate responsible and scalable use. AENOR’s specification, developed in collaboration with Microsoft, provides a verifiable framework for embedding technical, operational, and organizational controls from the design phase onward. Real Use Cases, Not Just TheoryWhat sets this certification apart is its focus on real-world application. Indra didn’t just define controls—they proved them on actual use cases. Two specific AI agents were certified: an onboarding agent and a Normative Supervisor agent, both built using Microsoft Copilot Studio. These agents underwent a validation process to ensure operational control, traceability, and responsible behavior. Carmen Bauset, Indra’s systems governance lead and project head, pointed out that the real challenge isn’t the AI model itself. “The challenge lies in how the system is designed, configured, and operated,” she said, emphasizing that in agent and general-purpose model environments, control resides in the iterative process rather than the algorithm alone. This perspective aligns with the certification’s focus on lifecycle management and evidence generation. The certification validates not only the technology but also the operational lifecycle of the agents, ensuring that their behavior, configuration, and usage meet verifiable responsible AI criteria. It’s a stamp of approval for Indra’s approach to scaling AI responsibly, and it sets a precedent for other Spanish companies looking to follow suit. All things considered, this certification marks a practical step forward in the journey toward trustworthy AI. By combining AENOR’s rigorous standards, Microsoft’s tools, and Indra’s real-world methodology, the three parties have created a model that other organizations can replicate. It shows that responsible AI isn’t just a buzzword—it’s something that can be measured, verified, and implemented at scale in corporate environments.