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Maxis AI — THE FIRST AI WORKFORCE IN CLINICAL TRIALS
For Site Networks

Agentic AI for Site Networks

Increase site throughput and sponsor visibility with governed AI workflows.

Site networks face mounting screening, enrollment, and coordinator workload pressure across protocols.

Maxis AI provides supervised execution that automates patient matching, reduces coordinator burden, and strengthens enrollment visibility — without adding headcount.

Human-in-the-loop validation · Audit traceability

SITE NETWORK · LIVE OPERATIONS
120+
Sites
99.4%
Uptime
+38%
Enrollment
Agentic AI Offerings

Our platform strengthens execution across key clinical workflows.

Patient Matching and Screening

  • Automated patient-to-protocol matching
  • Faster identification of eligible patients

Protocol Compliance Support

  • Real-time protocol guidance
  • Reduced protocol deviation risk

Enrollment Monitoring and Oversight

  • Continuous enrollment tracking
  • Early identification of at-risk sites

Coordinator Workflow Support

  • Reduced manual coordination effort
  • Unified dashboards across studies
Operational Pressure

Where Site Network Execution Often Slows

Execution constraints typically emerge due to:

Manual patient screening workflows

High coordinator workload

Limited enrollment visibility

Protocol deviation risks

Fragmented operational systems

Outcomes

What Improves with Agentic AI

With agentic AI for site network operations, delivery becomes more scalable.

Faster patient screening and enrollment

Reduced coordinator workload

Earlier identification of enrollment risks

Improved protocol compliance

Recommended Approach

Deploy AI-driven patient pre-screening first. This reduces time spent on ineligible patients and allows coordinators to focus on eligible patient engagement.

Case Study

Screen Failure: 74% Down to 38%. Enrollment Met 5 Months Early.

A 74% screen failure rate was putting rare disease enrollment at risk. See how an 8-site network improved patient eligibility and reduced delay exposure.

2x

Faster screening

9 Months

Recruitment cycle reduction

45%

Fewer protocol deviations

55%

Better forecast accuracy

FAQ

All You Need to Know

It automates patient matching and improves enrollment monitoring.

No. It supports coordinators and reduces workload.

Real-time monitoring helps detect risks earlier.

Screening speed and enrollment consistency.

Yes. It supports scalable site network execution.

Looking for Agentic AI for clinical trials?

Explore the Agentic AI Platform.

See how AI agents are transforming study startup, data management, oversight, and regulatory submissions.