As artificial intelligence continues to surge, organizations face a critical question: how can we ensure that AI models are designed, deployed, and used ethically, traceably, and in line with regulation?
At Anjana Data, we see AI governance as a natural extension of data governance — one that requires a strategic supervisory layer above technical execution. While operational tools handle the how (training, deployment, monitoring), governance focuses on the why, for whom, and with what limitations.
Strategic Oversight vs. Operational Management
Our vision: governing AI as a strategic asset
AI governance is much more than registering models. It means:
Managing the full AI lifecycle: from experimentation to decommissioning, with traceability and checkpoints at each stage.
Governing the data involved: ensuring quality, compliance (e.g. GDPR), and semantic consistency.
Ensuring transparency and explainability: for business, regulators and affected users.
Managing risks: from ethics to technical reliability, with documented mitigation strategies.
Providing auditable evidence: to comply with frameworks like the AI Act, NIST AI RMF, and ISO/IEC 42001, 22989, and 23894.
Areas of Artificial Intelligence (AI) management
And we do all of this without replacing your existing AI tools. Anjana Data integrates seamlessly with MLflow, Azure ML, Kubeflow and other platforms, synchronizing key governance data without disrupting your operations.
What does Anjana Data bring to the table?
Anjana Data Platform is designed to be the missing link between strategy and operations. What does that mean in practice?
A centralized inventory of all AI-related assets: datasets, models, LLMs, APIs, experiments, autonomous agents…
A customizable operational model with domains, roles, permissions, and validation workflows tailored to your organization.
Strategic oversight through traceability, risk documentation, and ethical/safety checkpoints throughout the model lifecycle.
A document repository of technical and regulatory evidence using templates adapted to each system type.
Total integration with your AI tech stack: reference mode, governance-led mode, or sync from MLOps pipelines.
Functional architecture of Anjana Data Platform with a focus on AI Governance
Technology that enables real, actionable governance
With its modular architecture, low-code/no-code design and fully customizable metamodel, Anjana Data empowers organizations to implement governance at scale — without adding friction. Its built-in BPM engine enables automated validation flows, legal reviews, or ethical approvals based on your AI system’s risk level.
Because governance shouldn’t slow you down. It should enable you to accelerate — responsibly and strategically.
