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AI Learning Engine

The CRYMBO AI module includes a learning component that evolves over time to refine its field recommendations, adapt to changing regulations, and respond to Bussiness/ institution specific feedback. This self-improving layer allows the system to continuously optimize compliance intelligence.

How It Learns​

  • Feedback Input: Bussiness/ institution can provide feedback on whether a received PII set was complete, excessive, or insufficient.
  • Override Tracking: When preferences or recommendations are manually overridden, the AI learns from these decisions.
  • Usage Patterns: The system detects behavioral trends across user profiles, jurisdictions, and transaction contexts.

Learning Scope​

  • Per Bussiness/ institution: Preferences and approval trends per institution
  • Per User Type: Profiles like retail, exchange, business entities
  • Per Region: Changes in regulation and compliance patterns by country

Update Cycle​

  • Models are retrained periodically (e.g., weekly or monthly)
  • Anomalies or mismatches are flagged for manual review
  • Performance metrics (accuracy, rejection rate) influence retraining

Privacy & Control​

  • No actual PII is used in learning—only encrypted metadata and outcomes
  • Bussiness/ institution can opt-in or out of global pattern sharing
  • Models are versioned and explainable

Long-Term Goals​

  • Predictive compliance modeling
  • Adaptive field templating based on transaction type
  • Shared intelligence across networks for more robust compliance

✅ The CRYMBO AI Learning Engine ensures your compliance logic gets smarter with every transaction—without compromising user data or transparency.