The First AI Workforce for Clinical Trials
Powered by agentic AI in life sciences, Maxis delivers supervised execution across regulated clinical workflows.
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Trials tested
Workflows
Integrations
The Execution Gap
Why Clinical Trails Execution Need a Shift
Clinical development is experiencing structural pressure. Several forces are driving the need for a new operating model
The New Operating Model
Humans execute work
Headcount scaling
Manual task resolution
Operational variability
AI agents execute defined workflows
Human experts supervise and validate
Workflows operate across integrated systems
Outputs remain traceable and governed
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What is an AI Workforce
An AI Workforce for clinical trials is a system of supervised AI agents executing clinical workflows under human oversight within regulated environments.
Structured workflow execution
Human-in-the-loop supervision
Integration with clinical systems
Audit-ready traceability
Service-level accountability
What does Maxis AI do
Maxis AI deploys an AI workforce in clinical trials through supervised AI agents to execute clinical trial work across study design, conduct risk & data management to regulatory reporting. Demonstrated cost efficiency in defined clinical workflows
How Maxis AI Works
Maxis AI agents execute end-to-end clinical trial workflows with human oversight.
Who Maxis AI Supports
Sponsors
Running global, multi-site trials requiring strict regulatory control and operational efficiency
CROs
Managing diverse client portfolios with consistent quality and delivery commitments
Site Networks
Seeking operational scale at compliance without adding headcount
Governance and Compliance Layer
Enterprise-grade governance designed for regulated environments. All agent activity aligns with:
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Aligned With:
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GxP principles
21 CFR Part 11
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ICH-GCP standards
SOC 2 Type II controls
Key safeguards:
Role-based access controls
Encrypted data handling
Immutable audit logs
Inspection-ready traceability
Backed by Enterprise-grade
Security and Scale
Administration
Core Capabilities
Verticalized AI Agents
Data management
Site monitoring
Safety and pharmacovigilance
Risk and quality management
Regulatory submissions
Integration Layer
Routes tasks across systems automatically
Integrates with EDC, CTMS, safety systems, imaging platforms, and eTMF
Escalates exceptions based on pre-approved logic
No rip-and-replace required
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Continuous Supervised Execution
Audit-ready decision trails
Measured task execution
Continuous supervised execution across workflows
Full visibility into agent activity
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No-Code Deployment
Validated configuration templates
Role-based permissions
Change-controlled deployment
Secure, scalable implementation
Loved by Teams That
Scale Fast
"Clinical trials are the engine of medical progress,but they are still built on slow, manual, and fragmented processes. The Maxis AI project shows that AI can be harnessed responsibly to modernize that engineand we’re just getting started."
"Building globally competitive clinical research in Africa requires more thaninfrastructure - it requires coordinated, scalable execution. By leveragingMaxis AI's AI-enabled platform, we see a clear opportunity to streamlinefragmented regulatory processes, reduce cycle timelines, and accelerate trialstarts while maintaining alignment with regulators and ethics committees."
"Study startup has remained one of the mostpersistent bottlenecks in clinical trials. The real opportunity now lies inapplying intelligent AI driven workflows to remove operational friction andaccelerate the path from protocol to patient."
Latest Resources
All You Need to Know
Yes - when deployed within a governed framework. Maxis AI aligns platform operations with GxP principles, 21 CFR Part 11 requirements, and established validation practices.
Maxis AI applies agentic AI through a supervised execution model. AI agents perform defined clinical workflows under sponsor-approved permissions and governance checkpoints. Every action remains traceable, reviewable, and aligned to regulated standards.
Yes. The AI Workforce integrates into existing electronic systems and workflows. It does not require core system replacement.
Analytics platforms identify risks and generate insights. The Maxis AI Workforce performs the operational work required to resolve them. We focus on execution capacity - not dashboards.
No. The AI Workforce operates under defined supervision. It reduces repetitive workload while preserving clinical judgment and regulatory accountability.
Organizations have demonstrated: Reduced repetitive manual effort, Improved workflow consistency, Increased execution throughput. Measured impact depends on workflow scope and deployment context.