85%Reduction in manual data entry time70–85%
reduction in false positives
3.2xIncrease in underwriting throughput3–5×
faster detection of genuine risks
100%Sovereign data compliance maintainedFull
explainability and regulatory audit trails
Traditional AML systems generate thousands of false positives daily while missing sophisticated laundering patterns. Leading Swiss banks have implemented this sovereign multi-agent solution for superior detection with far less noise.
The Challenge of Ineffective Traditional AML Systems
Before implementing Singularity IO's agentic platform, underwriting teams spent up to 40% of their time manually extracting data from PDFs, emails, and legacy systems. This not only slowed down the quotation process but also introduced the risk of human error in critical risk assessment models.
"Singularity IO didn't just give us an LLM; they provided a secure, sovereign orchestration layer that allowed our internal systems to talk to each other autonomously. It fundamentally changed our operational velocity."
Agentic Workflows in Action
Because the platform is deployed on Swiss sovereign cloud infrastructure, all data processing complies strictly with FINMA regulations, ensuring that sensitive client data never leaves the secure perimeter.
By deploying a multi-agent system, the client was able to automate the entire ingestion pipeline. The workflow operates as follows:
- Intake Agent:Monitors secure inboxes and classifies incoming submission documents.
- Extraction Agent:Utilizes fine-tuned vision models to extract tabular data from complex policy schedules.
- Validation Agent:Cross-references extracted entities against internal databases and flags anomalies for human review.
Implementation Stack
LangGraphLlama 3 (Self-Hosted)ExoscalePostgreSQLn8n
