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 Clinical trial recruitment is slow, costly, and often fails to meet diversity targets because manual screening of patient records cannot keep pace with complex inclusion/exclusion criteria.
How Agentic AI Helps A sovereign multi-agent system rapidly matches eligible patients to trial protocols while ensuring full data privacy and regulatory compliance.
Detailed Automated Business Process The system scans de-identified patient records using sovereign RAG, applies trial specific criteria, ranks candidates by suitability, and generates outreach materials for ethics-approved contact.
Potential Business Impact Recruitment time can be cut by 60–80%, enrolment targets are met faster, and trial diversity improves significantly.
Call to Action Learn how sovereign agentic trial recruitment can accelerate your drug development pipeline. Request a strategy workshop.
"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.
