Stabilize Trial Execution Across Sites. Built for Clinical Operations Leaders
Clinical operations teams manage siteperformance, but structured resolution across workflows remains constrained.
Agentic AI for clinical operationsenables supervised execution under governance, helping resolve delays earlierand improve consistency across trials.
A Day in
the Life of a VP Clinical Operations
Your day begins with enrollment gapsacross sites, conflicting CRO updates, and pressure to explain timeline slippage. You know underperformance exists but identifying it early enough toact remains the challenge. The issue is not visibility. It is acting beforedelays compound.
The Pressures VPs of Clinical Operations Carry Every Day
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Industry Reality
~80% of trials miss initial enrollment targets
Over two-thirds of sites underperform enrollment goals
Startup and recruitment delays drive the majority of cost overruns
Why Maxis AI Is Built for Clinical Operations
Maxis AI delivers a supervised execution layer—an AI Workforce embedded within clinical workflows.
It continuously monitors enrollment velocity, site performance, and operational signals, while executing predefined workflows under governance.
Unlike reporting tools, Maxis AI ensures issues are not just identified, but resolved within operational timelines
From Pain to Outcome: How Maxis AI Works for You
| Pain Point | AI Capability | Outcome |
|---|---|---|
| Site performance issues discovered weeks or months after they begin affecting enrollment | AI agents monitor enrollment pace, dropout rates, and query resolution in real time with human-in-the-loop validation | Site underperformance identified 2–3 weeks into enrollment instead of months later |
| Reactive response to enrollment shortfalls after targets are already missed | Supervised execution of defined site intervention workflows- alerts, escalations, and activation triggers | 20–40% improvement in enrollment velocity after targeted site interventions |
| Fragmented status reporting from multiple CROs creating blind spots | Integrated execution layer aggregating signals across all sites and vendors under audit-traceable governance | Unified operational view enabling proactive decisions that protect trial timelines |
All You Need to Know
It monitors site and enrollment signals continuously, executing defined follow-up workflows before issues escalate to timeline-impacting events.
Yes. The AI Workforce identifies underperforming sites weeks earlier than traditional monitoring and triggers defined interventions under human oversight.
Visibility without execution doesn’t prevent delays. Maxis AI performs the operational follow-up work that keeps trials moving.
Yes. It monitors signals across multiple studies and sites simultaneously, integrated into your existing CTMS and EDC systems.
By detecting recruitment issues 2–3 weeks earlier and executing corrective actions not just flagging them for manual follow-up.
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