Does your organization need traceability, regulatory compliance and control over AI systems?
In this document, you’ll discover how Anjana Data Platform enables you to:
- Implement a governance model aligned with frameworks such as the AI Act, GDPR, NIST AI RMF, and standards like ISO/IEC 42001, 22989 and 23894.
- Design a comprehensive operational model with domains, roles, permissions and validation workflows tailored to your structure.
- Inventory and govern all types of AI systems (ML/DL models, LLMs, autonomous agents, etc.) with full transparency and traceability.
- Document technical and regulatory evidence in a structured, reusable way.
- Integrate with AI lifecycle tools such as MLflow, Kubeflow or Azure ML through different modes: reference, sync or governance-led.
You’ll also get:
Practical guides for key AI governance use cases
Customizable metadata templates for different system types
Proposals for technical integration with your AI tools
Examples of roles, responsibilities and approval workflows
And much more!
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