AI Swarm Intelligence

Multi-agent AI system for risk management, compliance, treasury operations, and market analysis.

🛡️

Risk Agent

Monitors portfolio risk, LTV ratios, and market volatility

  • • Real-time risk scoring
  • • Margin call predictions
  • • Diversification analysis
⚖️

Compliance Agent

AML/KYC verification, regulatory reporting, sanctions screening

  • • Automated KYC checks
  • • Transaction monitoring
  • • Regulatory alerts
💰

Treasury Agent

Reserve management, issuance approvals, liquidity optimization

  • • Reserve ratio monitoring
  • • Auto-rebalancing
  • • Yield optimization
📊

Market Agent

Price feeds, DEX analytics, arbitrage detection

  • • Multi-source price aggregation
  • • Liquidity depth analysis
  • • Arbitrage opportunities
🏦

RWA Agent

Asset valuation, LTV adjustments, custody verification

  • • Automated appraisals
  • • Document verification
  • • Custody tracking
⚙️

Operations Agent

System health, node monitoring, incident response

  • • 24/7 infrastructure monitoring
  • • Auto-scaling decisions
  • • Anomaly detection

Agent Architecture

The AI swarm operates as a multi-agent system where each agent specializes in a specific domain but can collaborate and share insights.

Data Sources

  • XRPL node queries (real-time ledger data)
  • Analytics DB (historical patterns)
  • External price feeds (CoinGecko, CoinMarketCap)
  • IPFS documents (audit reports, attestations)
  • Treasury reserves.json (collateral status)
  • Monitoring stack (Prometheus/Grafana metrics)

Decision Framework

  • Autonomous: Low-risk actions (data collection, alerts)
  • Semi-Autonomous: Medium-risk (LTV adjustments, fee changes)
  • Human-in-Loop: High-risk (large issuances, asset liquidations)
  • Emergency Override: Human can always override AI decisions

Example: Stablecoin Issuance Flow

1.

User Request: Customer requests 100,000 USDT issuance

2.

Compliance Agent: Verifies KYC status, checks sanctions lists, reviews transaction history → ✅ PASS

3.

Treasury Agent: Confirms sufficient reserves (110% collateral required) → ✅ $110,000 available

4.

Risk Agent: Evaluates customer credit score, portfolio concentration → ✅ Low risk profile

5.

Operations Agent: Checks treasury node availability → ✅ Online and synced

6.

Treasury Agent: Initiates XRPL transaction, issues 100,000 USDT to customer wallet → ✅ COMPLETE

7.

Compliance Agent: Logs transaction for audit trail, updates reserves.json on IPFS

Total Time: 2.3 seconds | Human Involvement: Zero (fully automated)

Safety & Transparency

  • Explainable AI: Every decision includes a reasoning trace viewable by users
  • Audit Logs: All agent actions logged immutably on XRPL memo fields or IPFS
  • Rate Limits: Agents cannot execute more than X high-value transactions per hour
  • Multi-Agent Consensus: Critical decisions require agreement from 2+ agents
  • Human Oversight: Daily review dashboard for operations team
  • Kill Switch: Instant disable for any agent if anomalies detected
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