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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