SITE NETWORK SERVICES
45% Faster Startup. 60–75% Query Reduction. Continuous Risk Oversight
How Maxis AI helps site networks compress startup 45%, cut queries 60 - 75%, speed DB lock 30% and shift to continuous risk oversight.
Up to 45%
Faster study startup
60–75%
Query reduction
30%
Faster database lock
Scalable
Continuous risk oversight
WHO IT IS
The Context
How Maxis AI helps site networks compress startup 45%, cut queries 60 - 75%, speed DB lock 30% and shift to continuous risk oversight.
The network had strong patient access, but operational execution remained constrained by fragmented systems, manual coordination, and periodic review cycles
Site, enrollment, data, and safety signals were spread across EDC, CTMS, eTMF, lab, and safety systems, making it difficult to maintain a unified operational view
The core issue was not site commitment. It was the lack of continuous risk oversight and supervised execution capacity across startup, enrollment, monitoring, data management, and database lock.
Challenges
Key barriers to trial execution
Startup & Activation Delays
- Manual IRB and activation workflows
- Site contract and document cycles slowed execution
- First-patient-in timelines exposed to avoidable delay
Disconnected Site Signals
- Site, enrollment, monitoring, and safety data spread across systems
- No unified operational view across EDC, CTMS, eTMF, lab, and safety
- Issues surfaced late through periodic reviews
Manual Oversight Burden
- Heavy reliance on manual coordination
- Repetitive follow-ups consumed site and operations bandwidth
- Limited ability to intervene before risk affected milestones
Data & Query Pressure
- Query resolution and reconciliation remained manual
- Data issues accumulated across sources
- Database lock readiness became harder to predict
Operational solution
Maxis AI agentic workflows — under human oversight throughout
Accelerated Startup & Activation
- AI support for IRB, contracts, and activation
- Governed startup workflows
- Human review throughout
Outcome
Up to 45% faster study startup
Enrollment & Site
- Predictive enrollment insights
- Continuous site monitoring
- Earlier risk visibility
Outcome
Stronger enrollment and site oversight
Risk-Based Quality Management
- Predictive risk monitoring
- Unified site, data, and safety oversight
- ICH E6(R3)-aligned controls
Outcome
Scalable continuous risk oversight
Maxis AI operates as a governed and supervised execution layer within existing systems throughout.
See it across your site network
Curious how this could work across your site network?
We'll assess your site execution model, identify operational bottlenecks, and discuss where governed AI workforce can improve performance in a 30-minute working session.
Measured impact
Quantified outcomes after deploying Maxis AI's agentic workflows
| Metric | Before Maxis AI | After Maxis AI |
|---|---|---|
| Study Startup | Manual startup cycles | Up to 45% faster startup |
| Query Burden | Manual query management | 60–75% query reduction |
| Database Lock | Delayed lock readiness | 30% faster database lock |
| Risk Oversight | Periodic reviews | Continuous risk oversight |
| Operational Capacity | Headcount-dependent scaling | Scaled without proportional headcount growth |
Outcome
Quantified Benefits
The site network shifted from periodic, manual oversight to supervised continuous execution across startup, enrollment, monitoring, data management, and database lock
Study Startup: Up to 45% faster startup
Query Burden: 60–75% query reduction
Database Lock: 30% faster database lock
Risk Oversight: Continuous risk oversight
Explore our AI Workforce Platform
See how AI agents are transforming study startup, data management, oversight, and regulatory submissions.