Regulatory Adaptation
CRYMBO’s AI engine is designed to dynamically adapt field recommendations based on the regulatory environments of the sender and receiver jurisdictions involved in a transaction.
Why Regulatory Adaptation Matters
Global compliance requires different data in different places. For example:
- The EU may require proof of nationality
- Singapore mandates National ID number
- US FinCEN expects full name + address for certain transaction types
Manually coding for every possible pair of jurisdictions is not scalable. CRYMBO AI solves this through dynamic rule matching.
How It Works
- Country Mapping: Each Bussiness/ institution and user is geo-located or tagged with a regulatory region
- Rule Set Matching: AI queries a regulation database (e.g., FATF, MiCA, FinCEN)
- Field Scoring: Candidate fields are scored by relevance and requirement level
- Final Recommendation: Only the necessary and compliant fields are suggested
Example Table
| Sender Country | Receiver Country | Required Fields |
|---|---|---|
| US | EU | Name, Address |
| SG | PL | Name, National ID |
| CA | KR | Name, DOB, Country Code |
Source of Regulation Data
- Public regulatory bodies (FATF, FinCEN, MAS, etc.)
- Bussiness/ institution onboarding compliance settings
- Customer-defined regional rulebooks
Continual Learning
- AI adjusts rules if manual overrides are frequent
- Regulators can publish updates via registry sync
- VASP admins can request changes per destination
📌 Next Step: Explore Customer Preferences in the AI engine