On June 24, 2026, the Reserve Bank of India (“RBI”) released its Draft Guidance on Regulatory Principles for Model Risk Management (“Draft Guidance”), which may reshape how financial institutions govern quantitative models, AI systems and algorithmic decision-making across the Indian financial sector.
This note examines certain key dimensions of the Draft Guidance, such as (i) its expansive definition of a ‘model’, (ii) the comprehensive governance architecture proposed, including board-level accountability, independent validation functions, and ‘kill-switch’ mechanisms, along with (iii) rigorous lifecycle management requirements spanning development through decommissioning. The framework applies to all eleven categories of RBI-regulated entities and extends to third-party and AI models, signaling an intent to close governance gaps that have widened as model adoption has accelerated.
The Draft Guidance introduces obligations around risk-based tiering, perpetual model inventories, enhanced documentation and consumer protection safeguards that will require significant operational investment. Its treatment of AI-specific risks – including explainability thresholds, bias mitigation, ‘red-teaming’ requirements and human oversight mandates – may position India closer to, and in some respects ahead of, regulatory expectations in mature jurisdictions such as the European Union, the United Kingdom and the United States.