The Agentic AI Platform for Governed Clinical Trials
Maxis AI is an Agentic AI Platform for Clinical Trials that deploys a governed AI Workforce across study startup, clinical data management, biometrics, pharmacovigilance, regulatory workflows, and trial oversight while maintaining governance, auditability, and human supervision.
AI Workforce Platform for End-to-End Clinical Trial Execution
Maxis AI executes tasks across study startup, data management, programming, reporting, and risk resolution operating within defined workflow boundaries and integrating with systems such as EDC and CTMS. The platform coordinates AI agents across EDC, CTMS, eTMF, Safety, and clinical systems without replacing existing infrastructure. For use cases, ROI data, and an implementation roadmap, read our complete guide to AI agents in clinical trials, or see how this layer differs from a CTMS in what a clinical trial execution system actually does.
Study Startup
Site activation, document collection, and timeline workflows
Data Management
Query handling, cleaning, and reconciliation across systems
Biostatistics & Statistical Programming
SDTM, ADaM, and TLF generation under defined logic
Reporting
Regulatory and clinical study reporting at scale
Risk Resolution
Detection, triage, and structured remediation
Data, intelligence, and execution within a governed lifecycle
Setup and Governance
Workspaces are configured with defined roles, permissions, and supervision thresholds. All activity is logged to support audit traceability.
- Role-based permissions
- Supervision thresholds
- Audit logging
Data and Intelligence Layer
Data flows from EDC, CTMS, labs, and external sources. Structured and unstructured information is organized for contextual use.
- Multi-system ingestion
- Contextual organization
- Reusable data foundation
Execution and Oversight
AI Workforce agents execute governed workflows across systems within defined boundaries. Actions are coordinated and monitored in real time with full traceability.
- Bounded execution
- Real-time monitoring
- Explainable control
From study startup through closeout — consistent, distributed execution
Ingest
Unify data from clinical and operational systems
Interpret
Signals interpreted within protocol and workflow context
Orchestrate
Actions coordinated across teams and functions
Execute
Execution follows predefined guardrails
Govern
Oversight remains visible and audit-ready
Structured to support governed execution at scale
Five tightly integrated layers, from the clinical context layer and orchestration to oversight and audit, designed to operate inside your existing ecosystem. Unlike traditional workflow automation, the Maxis AI Workforce Platform combines reasoning, orchestration, execution, governance, and continuous oversight within one governed execution architecture.
Governance & Control
Role-based access, supervision thresholds, and full audit trails aligned to GxP expectations.
Integration Layer
Connects with EDC, CTMS, safety, and external systems. No system replacement.
Data & Knowledge Layer
Centralizes structured data and study documents for accurate, consistent execution.
Agent & Orchestration Layer
Agents and workflows configured within defined boundaries; reusable across programs.
Execution & Monitoring
Agents perform workflow steps across systems with real-time traceability and explainability.
A governed lifecycle from concept to continuous oversight
Every phase is structured, traceable, and aligned to validation requirements — so throughput increases without compromising control or compliance.
Phase 1
Concept
Frame the problem, define intended use, and align stakeholders on outcomes.
Phase 2
Requirements
Capture functional, regulatory, and validation requirements with full traceability.
Phase 3
Design
Architect agents, workflows, and controls aligned to GxP-grade design standards.
Phase 4
Verification & Validation
Test against requirements, evidence intended performance, and confirm compliance.
Phase 5
Acceptance & Release
Formal sign-off, controlled release, and deployment into the production environment.
Phase 6
Operations & Continuous Oversight
Monitor, log, supervise, and continuously improve under governed change control.
Operates within your existing ecosystem
Scale execution without replatforming. Maxis AI integrates with your existing clinical systems rather than replacing them.
Integrates with EDC, CTMS, eTMF, Safety, LIMS, and existing clinical systems
Does not replace core platforms
Coordinates workflows across fragmented environments
Extends infrastructure with execution capability
No system replacement
Maxis AI sits across EDC, CTMS, eTMF, and LIMS — coordinating execution while your systems of record stay intact.
Purpose-Built AI Workforce Platform
Enabling governed execution across sponsors, CROs, and site networks.
Clinical Data Management
Clean, query-ready data delivered with control
Biometric & Statistical Programming
Reproducible analyses and submission-grade outputs
Medical Monitoring
Continuous safety and protocol oversight
Clinical Operations
Coordinated execution across sites and vendors
R&D
Faster evidence generation across the portfolio
RBQM
Risk-based quality with live signal monitoring
AI Transformation
Operationalize AI inside regulated workflows
Pharmacovigilance
Faster case intake, triage and reporting
Information Technology
Secure, validated and interoperable deployments
Financial Operations
Predictable unit economics and trial spend visibility
Execution becomes structured and consistent
Higher execution capacity, improved predictability, and controlled scaling in regulated environments.
- Manual coordination across teams
- Workflow variability
- Reactive response cycles
- Governance bound to manual control
- Teams routing tasks
- Orchestrated workflows
- Defined logic reduces variability
- Continuous, near real-time execution
- Governance scales with throughput
- Teams focus on oversight
All you need to know.
An Agentic AI Platform for Clinical Trials enables AI agents to execute approved operational work across regulated clinical workflows instead of only generating recommendations. Maxis AI operates as a supervised execution layer where AI agents perform tasks within defined workflow boundaries while maintaining human oversight, governance controls, and complete audit traceability. Positioned as an AI Workforce Platform, it helps sponsors, CROs, and site networks scale execution without compromising compliance.
The Maxis AI Platform follows a governed execution model. It ingests data from connected clinical systems, applies contextual reasoning, orchestrates AI agents to execute approved workflow steps, and records every action for auditability. Human reviewers validate outputs where regulatory or scientific judgment is required. This approach enables consistent execution while maintaining governance across clinical trial operations.
The AI Workforce Platform executes structured workflows across study startup, enrollment operations, clinical data management, statistical programming, medical writing, pharmacovigilance, and risk oversight. Rather than replacing clinical teams, it automates structured operational work within governed workflows while maintaining human supervision, reproducible outputs, and execution traceability across regulated clinical trials.
The Agentic AI Platform for Clinical Trials is built with governance as a foundational design principle. It applies role-based permissions, workflow boundaries, human validation checkpoints, and detailed execution logs to maintain oversight. Organizations can also implement GxP governance frameworks, validation approaches, and audit-ready controls to support regulated clinical environments.
Yes. Human-in-the-loop (HITL) validation is built into the platform's operating model. Organizations configure supervision thresholds that determine which workflow steps AI agents can execute independently and which require reviewer approval. This allows clinical teams to increase execution capacity while retaining accountability for decisions involving scientific, operational, or regulatory judgment.
Yes. The Clinical AI Platform integrates with existing systems such as EDC, CTMS, eTMF, safety platforms, laboratory systems, and other enterprise applications. AI agents execute workflows across connected systems while preserving validated processes, existing systems of record, and established operational infrastructure. No system replacement is required.
Every workflow executed by the platform generates a complete execution history, including workflow steps, data used, AI actions, reviewer approvals, exceptions, and final outcomes. These audit trails provide the transparency, traceability, and governance required for quality management, regulatory inspections, and enterprise oversight in clinical trials.
The Agentic AI Platform for Clinical Trials is designed for pharmaceutical companies, biotechnology organizations, CROs, and site networks managing regulated clinical operations. It supports teams across Clinical Operations, Clinical Data Management, Biometrics, Medical Writing, Pharmacovigilance, RBQM, Information Technology, and R&D that require governed AI execution with human oversight and auditability.
What is an Agentic AI Platform for Clinical Trials? An Agentic AI Platform for Clinical Trials enables AI agents to execute approved operational work across regulated clinical workflows instead of only generating recommendations. Maxis AI operates as a supervised execution layer where AI agents perform tasks within defined workflow boundaries while maintaining human oversight, governance controls, and complete audit traceability. Positioned as an AI Workforce Platform, it helps sponsors, CROs, and site networks scale execution without compromising compliance.
How does the Maxis AI Platform work? The Maxis AI Platform follows a governed execution model. It ingests data from connected clinical systems, applies contextual reasoning, orchestrates AI agents to execute approved workflow steps, and records every action for auditability. Human reviewers validate outputs where regulatory or scientific judgment is required. This approach enables consistent execution while maintaining governance across clinical trial operations.
Which clinical workflows can the AI Workforce Platform execute? The AI Workforce Platform executes structured workflows across study startup, enrollment operations, clinical data management, statistical programming, medical writing, pharmacovigilance, and risk oversight. Rather than replacing clinical teams, it automates structured operational work within governed workflows while maintaining human supervision, reproducible outputs, and execution traceability across regulated clinical trials.
How does the platform ensure governance, security, and compliance? The Agentic AI Platform for Clinical Trials is built with governance as a foundational design principle. It applies role-based permissions, workflow boundaries, human validation checkpoints, and detailed execution logs to maintain oversight. Organizations can also implement GxP governance frameworks, validation approaches, and audit-ready controls to support regulated clinical environments.
Does the platform support Human-in-the-Loop (HITL) validation? Yes. Human-in-the-loop (HITL) validation is built into the platform's operating model. Organizations configure supervision thresholds that determine which workflow steps AI agents can execute independently and which require reviewer approval. This allows clinical teams to increase execution capacity while retaining accountability for decisions involving scientific, operational, or regulatory judgment.
Can the platform integrate with existing clinical systems? Yes. The Clinical AI Platform integrates with existing systems such as EDC, CTMS, eTMF, safety platforms, laboratory systems, and other enterprise applications. AI agents execute workflows across connected systems while preserving validated processes, existing systems of record, and established operational infrastructure. No system replacement is required.
How does the platform maintain audit trails and oversight? Every workflow executed by the platform generates a complete execution history, including workflow steps, data used, AI actions, reviewer approvals, exceptions, and final outcomes. These audit trails provide the transparency, traceability, and governance required for quality management, regulatory inspections, and enterprise oversight in clinical trials.
Who should use the Maxis AI Platform? The Agentic AI Platform for Clinical Trials is designed for pharmaceutical companies, biotechnology organizations, CROs, and site networks managing regulated clinical operations. It supports teams across Clinical Operations, Clinical Data Management, Biometrics, Medical Writing, Pharmacovigilance, RBQM, Information Technology, and R&D that require governed AI execution with human oversight and auditability.
Explore our AI Workforce Platform
See how AI agents are transforming study startup, data management, oversight, and regulatory submissions.