SAR Factory
The narrative engine for financial crime. We investigate alerts, write Suspicious Activity Reports, and cite specific regulatory policy—autonomously.
The Opportunity
95% of Anti-Money Laundering alerts are false positives. Banks employ armies of analysts to investigate these alerts, write Suspicious Activity Reports (SARs), and document their findings.
This is a massive waste of high-value human capital. A single analyst can process only 3-5 complex cases per day. The backlog is measured in months.
The bottleneck isn't data—it's the narrative. Regulators don't want raw transaction logs; they want a story with evidence, reasoning, and regulatory citations.
Market Metrics
The Product
Alert Investigation
Autonomous agent that triages alerts, gathers transaction context, identifies patterns, and determines risk level using neuro-symbolic reasoning.
SAR Generation
Writes complete Suspicious Activity Reports in regulatory format, with narrative explanation, evidence chain, and policy citations.
Regulatory Mapping
Automatically cites relevant AML directives, FATF recommendations, and local regulations. Every conclusion is backed by specific policy.
The Wedge
Turning "Risk Ops" from a cost center into a software workflow. When compliance becomes code, margins expand exponentially.
Traditional AML
- 95% false positive rate
- 3-5 cases per analyst per day
- 4 hours per SAR
- €150K per analyst annually
- Inconsistent quality
With SAR Factory
- 85% auto-cleared (true negatives)
- 100+ cases processed per hour
- 15 minutes per SAR
- €15K annually (10x reduction)
- Deterministic quality with full audit trail
The Compounding Advantage
Every SAR processed makes the system smarter. The reasoning engine learns from regulatory feedback, building an ever-expanding library of financial crime patterns.
This isn't just automation—it's institutional knowledge as software.
Ready to Transform Financial Crime Compliance?
SAR Factory launches with proven AI infrastructure, regulatory coverage, and banking-grade security. You bring the financial crime domain expertise.