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AI GOVERNANCE & COMPLIANCE
Governance that lets you scale AI with confidence, not caution.
Built on NIST AI RMF, the EU AI Act's risk-tier model, and India's DPDP Act 2023 and RBI guidance, our governance framework gives BFSI and enterprise teams a working structure for policy, audit, and regulatory tracking — not a binder that sits unread after the kickoff meeting.
THE FRAMEWORK
Ten domains, weighted by real regulatory exposure.
DOMAIN
WHAT IT ASSES
Governance & Accountability
Ownership of AI decisions, escalation paths, and board-level visibility.
Risk Management
Risk-tiering of AI use cases in line with the EU AI Act's model, adapted for Indian regulatory context.
Data Governance
Data lineage, consent, and retention practices measured against DPDP Act 2023 obligations.
Model Transparency
Documentation depth, benchmarked against the Stanford Foundation Model Transparency Index.
Third-Party & Vendor Risk
Due diligence on AI vendors and embedded model dependencies.
Bias & Fairness Testing
Testing protocols for disparate impact, particularly in lending and hiring use cases.
Security & Access Control
Model and data access controls, aligned to OWASP LLM Top 10 risk categories.
Human Oversight
Defined human-in-the-loop checkpoints for consequential decisions.
Incident Response
Playbooks for AI failure modes — hallucination, drift, and outages.
Regulatory Monitoring
Ongoing tracking of EU AI Act, DPDP rules, and sector-specific AI regulation.
BUILT ON RECOGNISED STANDARDS
We don't invent a framework from scratch.
NIST AI RMF
EU AI ACT
Stanford FMTI
OWASP LLM TOP 10
DPDP ACT
Our framework synthesizes established standards into one scoring model rather than asking your team to reconcile four separate compliance documents. The result is a single index score per AI system, with domain-level detail underneath it, so you can see exactly where a gap sits and what closing it requires.
Three services sit on top of the framework: Policy Guard generates and maintains your policy documents, the AI Readiness Audit scores your current AI systems against it, and Regulation Monitoring keeps the framework itself current as rules change.