74 lines
1.4 KiB
Markdown
74 lines
1.4 KiB
Markdown
# Autonomous Regulatory Intelligence (ARI)
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## Overview
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ARI is the self-governing regulatory AI of DBIS, capable of:
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- Detecting system-wide risk
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- Modifying AML policies in real time
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- Updating FX risk limits
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- Triggering liquidity adjustments
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- Recommending settlement rule changes
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## Architecture
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### Cortex Layer
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- Regulatory policy generator
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- Predictive modeling engine
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**Service**: `ari-cortex.service.ts`
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**API Endpoints**:
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- `POST /api/v1/ari/policy/generate` - Generate regulatory policy
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- `POST /api/v1/ari/predict` - Predict risk
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### Reflex Layer
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- Real-time AML/FX adjustments
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- Autonomous sanctions updates
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- Automated rule deployment
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**Service**: `ari-reflex.service.ts`
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### Execution Layer
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Interacts with:
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- GPN
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- M-RTGS
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- ALPS liquidity engine
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- GASE AML engine
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**Service**: `ari-execution.service.ts`
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**API Endpoint**: `POST /api/v1/ari/execute`
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## Decisioning Example
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```
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if SARE.FXSP > 0.35:
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tighten_FX_band( SCB )
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reduce_liquidity_limit( SCB )
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```
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**Service**: `ari-decisioning.service.ts`
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**API Endpoint**: `POST /api/v1/ari/decision`
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ARI can self-update policies, subject to:
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- MSC review windows
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- CAA override authority
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## Database Models
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- `AriPolicy` - Regulatory policies
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- `AriDecision` - ARI decisions and actions
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- `AriPolicyUpdate` - Policy update history
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## Integration Points
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- SARE risk engine (Volume V)
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- AML velocity engine (existing)
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- FX engine (existing)
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- GPN, M-RTGS, ALPS, GASE
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