Created on 4th November 2024
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CRisMac Regulatory Data Lake is a comprehensive banking compliance platform adopted by six of India's top ten banks. The platform integrates eight core solutions powered by AI/ML
Data Lake: Centralizes enterprise data for enhanced business intelligence, offering cloud-based analytics, unified customer journey tracking, and automated reporting for RBI's CIMS.
Asset Classification: Enables automated ML-powered income recognition, asset classification, and provisioning, ensuring uniform IRAC norm application with system-driven upgrades/downgrades.
Stressed Asset Management: Delivers end-to-end recovery analytics with AI-driven borrower targeting, legal case management, and recovery forecasting.
Automated Data Flow: Streamlines regulatory reporting through ML-driven automation, featuring XBRL reporting and SDMX integration for RBI's CIMS.
CRILIC Reporting: Manages reporting for exposures above ₹5 crores, including credit report generation, risk assessment, and fraud detection.
Early Warning Solution: Provides predictive analytics with 250+ warning triggers, monitoring borrower health through 2500+ alternative data sources and AI-powered credit insights.
IndAS Compliance: Facilitates automated Expected Credit Loss (ECL) computation using 100+ parameters, enabling statistical modeling for Probability of Default (PD) and Loss Given Default (LGD).
BASEL II/III Reporting: Automates Internal Capital Adequacy Assessment Process (ICAAP) reporting with advanced stress testing models and LCR computation.
Key Benefits:
Reduces compliance costs through centralized data management
Enables real-time regulatory response
Improves data quality and consistency
Supports advanced analytics for business intelligence
Automates manual processes for efficient reporting
Provides comprehensive risk management tools
Ensures regulatory compliance across multiple frameworks
The platform serves as a single source of truth for regulatory reporting, transforming manual banking processes automated.
Major Technical Hurdles & Solutions
Legacy System Integration Challenge
Issue: Banks' legacy systems used diverse data formats and outdated protocols, making standardization extremely difficult
Solution: We use data integration platforms that support modern and legacy systems, reducing the need for custom integration. Additionally, we specialize in data integration to help banks overcome this
Data Validation at Scale
Challenge: ensure that the data lake can handle the growing volume of data.
Solution:We leverage cloud-based data lake platforms that provide scalable infrastructure and storage capabilities. We also regularly monitor the data lake's performanc
Real-time Performance vs Data Accuracy
Problem: Early versions faced a critical trade-off between processing speed and data accuracy, especially for Early Warning System monitoring accounts
Solution: Developed a two-tier processing system:
Tier 1: Real-time basic validation for critical alerts
Tier 2: Deep validation for comprehensive reporting
Cross-source Data Reconciliation
Issue: Inconsistent data across multiple sources leading to reconciliation failures
Solution: Created an AI-driven reconciliation engine that:
Identifies patterns in data discrepancies
Automatically resolves common inconsistencies
Flags complex issues for manual review
CRisMac actively manages massive financial data across India's banking sector:
CRisMac's footprint across India's banking sector demonstrates its robust capabilities in handling massive financial data volumes. Our Asset Classification module manages the largest portfolio, processing ₹16 Trillion in credit exposure across 40 Million accounts. The Automated Data Flow component handles ₹7 Trillion spanning 2 Million accounts, while our Stressed Management Solution oversees ₹1 Trillion across 15 Million accounts. The Early Warning System monitors ₹7 Trillion covering 191,000 accounts.
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