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