Beyond the data: how Anjana Data leads the way in artificial intelligence governance
With the unstoppable rise of Artificial Intelligence, organisations are faced with an urgent question: how can they ensure that AI models are designed, deployed and used in an ethical, traceable and compliant manner? The answer lies not only in MLOps tools, but also in having a robust framework for governance that integrates people, processes and technology.
In Anjana Data we understand the AI governance as a natural extension of the Data Government, which requires a strategic layer of oversight above technical execution. While operational tools handle the how (train, deploy, maintain), the government takes care of the why, for what purpose, and within what limits.
Our vision: governing AI as a strategic asset
Governing AI involves much more than registering models. It requires:
- AI systems lifecycle managementFrom experimentation to withdrawal, with traceability and control at every stage.
- Governance of the data involved: ensuring quality, regulatory compliance (such as GDPR) and common semantics.
- Transparency and explainability: models that are understandable for businesses, regulators, and users.
- Risk management: ethical, technical, and operational, with mitigation and documentation mechanisms.
- Evidence for regulatory compliance: AI Act, ISO, NIST, sectoral... what is not documented is not governed.
All of this without duplicating toolsAnjana Data integrates with existing technical platforms (MLflow, Kubeflow, Azure ML, etc.) to synchronise and document evidence to and from the operating ecosystem.
What does Anjana Data offer?
Anjana Data Platform has been designed to be the missing piece between strategy and operation. What does this mean?
- Centralised inventory of models, datasets, APIs, agents, experiments, and AI systems.
- Customisable operating model, with domain definition, role configuration, permission assignment, and workflows adaptable to the organisational reality.
- Strategic oversight with traceability panels, evidence and control over the life cycle, ethics and safety of the models.
- Document management technical and regulatory evidence, with specific metadata templates depending on the type of system (ML, LLMs, agents, etc.).
- Full integration with management tools, whether in reference mode, master mode (push) or slave mode (pull), to maintain automatic synchronisation of evidence.
Technology at the service of real governance
With modular architecture, a low-code/no-code approach, and a 100% configurable % metamodel, Anjana Data enables the implementation of robust and sustainable governance models, without friction or unnecessary dependencies. Its native BPM engine allows for the automation of ethical validations, legal reviews, or authorisations according to the type and risk of the system.
Because governing well does not mean slowing down. It means accelerating with confidence, responsibility and vision.
Would you like to know how we do it?
We have prepared a comprehensive resource with use case examples, metadata and role proposals, inventory models, approval flows, and much more.