Clinical trial recruitment and patient matching are among the most time-consuming and costly phases in pharmaceutical development. This playbook shows how sovereign Agentic AI can dramatically accelerate trial timelines while improving patient matching quality and regulatory compliance.
Business Challenge Many Organisations want to build internal AI capabilities but lack a proven, governed approach to creating and scaling a sovereign digital workforce.
UNLOCK FULL USE CASE + PDFExecutive Summary / Key Takeaways
- 40–60% faster patient recruitment and enrolment
- Significantly higher matching accuracy and population diversity
- Automated regulatory documentation and audit trails
- Reduced overall trial costs and faster time-to-market
- Full compliance with Swissmedic, EMA, and EU AI Act standards
The Challenge
Slow patient recruitment, poor diversity, manual matching processes, and heavy regulatory documentation burden.
Our Approach / Framework
A multi-agent crew for patient matching, data integration, ethical engagement, trial workflow orchestration, and regulatory compliance
Technical Architecture
LangGraph orchestration, privacy-preserving RAG, Ollama medical models, and secure integration with EHRs and trial systems on Swiss infrastructure.
Implementation Guide
14-week roadmap including protocol analysis, agent development, ethics review, and live pilot.
Conclusion & Future Outlook
Sovereign Agentic AI can bring life-changing therapies to patients years earlier by accelerating and improving clinical trials.
Key Takeaways
- 40–60% faster patient recruitment and enrolment
- Significantly higher matching accuracy and population diversity
- Automated regulatory documentation and audit trails
- Reduced overall trial costs and faster time-to-market
- Full compliance with Swissmedic, EMA, and EU AI Act standards
