The insurance industry relies heavily on complex document analysis, risk assessment, and regulatory compliance. For global reinsurers, processing unstructured data from various sources into structured underwriting models has traditionally been a labor-intensive bottleneck.
The Challenge of Unstructured Data
Business Challenge KYC and client onboarding processes in Swiss wealth management are notoriously time-consuming, manual, and costly. Banks often take 2–4 weeks to onboard new clients due to fragmented document checks, repeated requests for information, and strict regulatory requirements.
How Agentic AI Helps A sovereign multi-agent workflow replaces manual steps with intelligent, autonomous agents that handle document intake, data extraction, risk scoring, and compliance verification while maintaining full Swiss data residency.
Detailed Automated Business Process The Intake Agent receives documents via secure channels. The Extraction Agent uses vision models to pull structured data. The Risk & Compliance Agent cross-checks against internal databases and regulatory rules. A Validation Agent flags only uncertain cases for human review before final approval and CRM update — all running entirely on Exoscale SKS.
Potential Business Impact Onboarding time can be reduced from weeks to a few days, manual effort drops by 70–80%, and compliance risk is significantly lowered through complete audit trails and explainability.
Call to Action Learn how to transform your KYC process with sovereign agentic AI. Book a strategy workshop or request alive demonstration.
"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
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.
