Crowe Andorra Launches Tailored AI Governance Framework

Crowe Andorra has implemented an internal AI governance framework tailored to the country's context, emphasizing quality, security, and responsible use. Leading the effort are Vladimir Fernández, a partner responsible for quality, risks, and compliance, and a member of the firm's AI committee, and Joel Marín, an economist and IT specialist heading the AI department.

In 2024, the focus was on internal training and awareness, transitioning in 2025 to practical applications. AI tools now support document reviews, risk analysis, and task automation, enhancing traceability and quality control. The firm has introduced internal protocols with mandatory human oversight to balance technological efficiency with professional accountability.

Marín, representing a new generation of tech-savvy professionals, described his role as blending economic insight with technology to deliver real-world solutions. These aid internal teams and clients in process automation and data-driven decisions. AI also powers professional development through updated training courses, always positioned as a tool to augment—not replace—human expertise.

The duo is jointly delivering AI courses at the Andorran Chamber of Commerce, targeted at professionals and business owners with no prior knowledge. The sessions adopt a hands-on approach, demonstrating optimizations in areas like document management and customer service, while promoting ongoing adaptation. Examples include financial statement analysis and custom internal GPT models that boost efficiency without sacrificing professional judgment.

Key challenges include data protection and reliability. Fernández stressed the need for innovation without compromising risk management or quality, advocating skepticism and human review to prevent misuse. Marín noted that many businesses initially fear AI but embrace it once they grasp its controls and limitations.

Crowe Andorra views itself in a growth phase for AI adoption, handling sensitive data prudently to prioritize efficiency, risk management, and quality. Looking ahead, the team aims to innovate responsibly, regularly refining strategies to align with technological advances and client needs, while fostering internal knowledge and collaboration.

Ultimately, they frame AI as an enhancer of professional talent, with human judgment remaining central to trust and quality in their work. Businesses that train teams and apply technology purposefully, they argue, will lead the future.