Automate Compliance & Reporting
A dedicated environment for testing your compliance stack. Validate policy logic, simulate financial crime patterns, and automate regulatory reporting.
OPA + Custom Rules
Policies
Synthetic AML
Data
Vertex AI SARs
AI
Policy-as-Code
- Define compliance rules (Sanctions, Travel Rule) as executable code
- Enforce velocity limits and transaction caps in real-time
- Update policies instantly without redeploying core infrastructure
Synthetic AML Data
- Generate realistic transaction patterns (Structuring, Layering)
- Test your monitoring systems against known money laundering typologies
- Validate false positive rates and alert tuning
Automated Reporting
- Auto-draft Suspicious Activity Reports (SARs) using Vertex AI
- Compile regulatory data packages for audit requests
- Maintain an immutable lineage of all compliance decisions
Policy Evaluation Logic
// regulatory/policy-engine.ts
export function evaluateTransfer(transfer, rules) {
const violations = [];
// Check against active sanction lists
if (rules.sanctions.includes(transfer.sender)) {
violations.push('SENDER_SANCTIONED');
}
// Enforce velocity limits (e.g., > $10k / 24h)
if (transfer.amount > rules.velocityLimit) {
violations.push('VELOCITY_EXCEEDED');
}
return {
allowed: violations.length === 0,
violations,
timestamp: Date.now()
};
}
AI-Powered SAR Drafting
// regulatory/sar-gen.ts
import { generateText } from '@/lib/vertex-ai';
export async function draftNarrative(alertId, context) {
// Use GenAI to summarize the suspicious activity
const prompt = `
Analyze the following transaction graph for alert ${alertId}.
Context: ${JSON.stringify(context)}
Draft a SAR narrative highlighting the structuring pattern.
`;
const narrative = await generateText(prompt);
return { alertId, narrative, status: 'draft' };
}
Ready to automate compliance?
Deploy your policy engine and start screening transactions. Use the synthetic data generator to train your monitoring systems and refine your risk rules.