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Maxis AI — THE FIRST AI WORKFORCE IN CLINICAL TRIALS
Site Network Services

Operational Scale for Site Networks

Maxis AI helps site networks deliver consistent, compliant trial execution at scale — without proportional headcount growth.

Human-in-the-loop validation · Audit traceability · Governed execution

Abstract visualization of a global clinical trial site network
How Maxis AI Works

Agentic AI offerings across the site operations lifecycle.

Site Activation Coordination

Protocol-aware tracking of activation milestones across distributed networks.

Enrollment Operations

Continuous enrollment monitoring and outreach coordination across sites.

Source Document Workflows

Source document review, classification, and eTMF readiness checks.

Site Performance Monitoring

Real-time visibility into site-level performance and risk signals.

Compliance & Audit Readiness

Inspection-ready logs, deviation tracking, and traceable site activity.

Site networks gain operational scale at compliance — without adding headcount — through supervised agents working alongside site teams.

Who This is Built for

Built for the leaders running multi-site execution.

Site Network Executives

Scale execution across geographies without proportional growth.

Site Operations Leaders

Reduce coordination overhead across activation and enrollment.

Principal Investigators

Spend more time on patients with less administrative burden.

Quality & Compliance Leads

Maintain inspection readiness across the network.

Portfolio Operations

Strengthen forecast confidence across studies and sites.

Operational Pressure

Where site network delivery often slows.

Distributed sites face recurring friction points as portfolios scale:

The constraint is coordination capacity — not effort.

  • Inconsistent activation timelines across sites
  • Manual coordination across sponsors, CROs, and sites
  • Enrollment performance varies across geographies
  • Source document review backlog and rework
  • Reactive compliance handling and audit prep
  • Scaling oversight without scaling headcount
Outcomes

What improves with AI-led delivery.

With Agentic AI for site networks, execution becomes coordinated, governed, and scalable:

Faster, more consistent site activation

Coordinated enrollment workflows across geographies

Reduced manual document handling

Continuous performance signals with early intervention

Inspection-ready audit traceability

Operational scale without headcount inflation

Case Study

2× Faster Screening. 9 Months Saved. 45% Fewer Protocol Deviations.

25–30% of sites were trending low. See how agentic AI helped detect enrollment drift earlier and improve predictability.

30–50%

Faster activation

2x

Enrollment throughput

40%

Less coordination effort

100%

Audit traceability

FAQ

All You Need to Know

By embedding supervised agents within activation, enrollment, and source workflows so coordination scales without adding headcount.

No. It reduces repetitive coordination tasks so site teams focus on patient-facing and clinical work.

All agent activity is logged with full context and validated under human oversight, supporting inspection readiness across the network.

Yes. Maxis AI integrates as a governed execution layer over existing site systems.

Activation predictability and enrollment coordination, followed by document workflow throughput.

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.