The adoption of Artificial Intelligence poses challenges for organisations that go beyond technical issues: transparency, ethics, regulatory compliance, security and trust. To address these challenges, it is essential to have a AI governance conceived as a natural extension of the Data Governance, combining strategic oversight and operational management throughout the entire lifecycle of AI systems. In this context, organisations need to ensure traceability, transparency and accountability in every automated decision, avoiding risks of bias, lack of robustness or vulnerabilities, while complying with demanding regulations and aligning innovation with their values and strategic objectives.

With Anjana Data Platform, organisations have a comprehensive solution to operationalise AI governance in a practical and sustainable way. Our platform allows for the centralised inventory and governance of models, data, agents and APIs, the documentation of technical and regulatory evidence, the monitoring of risks and the anticipation of degradation or drift, ensure the explainability and auditability of models, and integrate all of this into a common framework alongside data governance. Thanks to its modular, semantic and interoperable approach, and its alignment with international frameworks and standards such as the EU AI Act, the rules ISO/IEC 42001, 22989 and 23894, the NIST AI RMF or the Ethics Guidelines for Trustworthy Artificial Intelligence, Anjana Data Platform turns AI governance into a true enabler of responsible and sustainable innovation, far from being a bureaucratic burden on the organisation.