By Role · Clinical Development
From Protocol Complexity to Governed Clinical Development Workflows
Maxis AI helps Clinical Development teams accelerate SAP development 85%, support adaptive trial analysis, and generate protocol-aware clinical documents.
85%
SAP development time reduction
Protocol-Aware
Document generation
Adaptive
QTLs for RBQM oversight
50–70%
Programming time savings
WHO IT IS
The Context
Maxis AI helps Clinical Development teams accelerate SAP development 85%, support adaptive trial analysis, and generate protocol-aware clinical documents.
A Clinical Development Director leading a Phase II program faced increasing pressure to move from trial design into reliable execution without creating downstream delays in analysis planning, quality oversight, or regulatory documentation. Protocol decisions, SAP development, interim analysis preparation, RBQM expectations, and clinical document generation were managed across multiple expert teams. Each workflow was necessary, but coordination remained manual and sequential.
The challenge was not only protocol complexity. It was the lack of a governed execution layer connecting protocol design, statistical planning, adaptive analysis support, quality oversight, and clinical documentation.
The team needed to accelerate clinical development workflows while keeping expert review, audit traceability, and regulatory control intact.
Challenges
Key barriers to Clinical Development
Protocol-to-Execution Handoff
- Manual coordination across operations, biometrics, and regulatory teams
- Disconnected workflows slowed execution readiness
Slow SAP Development
- SAP development often took 4–8 weeks
- Manual planning delayed trial readiness
Adaptive Analysis Pressure
- Interim analyses required coordinated data, SAP, and programming inputs
- Manual workflows slowed analytical readiness
Quality Governance Requirement
- ICH E6(R3)-aligned RBQM required active oversight
- Teams needed adaptive QTLs and governed monitoring workflows
Operational solution
Maxis AI agentic workflows — under human oversight throughout
AI-Accelerated SAP Development
- AI-assisted SAP creation in days, not weeks
- Expert-supervised statistical planning
- Validated SAS, R, and Python workflows
Outcome
85% SAP development time reduction
Protocol-Aware Document Intelligence
- AI-assisted generation of protocols, amendments, IBs, and study documents
- Expert-reviewed clinical content
Outcome
Protocol-aware document generation
Governed RBQM Oversight
- Adaptive QTLs aligned with ICH E6(R3)
- Governed monitoring of site, data, and safety signals
Outcome
Adaptive QTLs for RBQM oversight
Maxis AI operates as a governed and supervised execution layer within existing systems throughout.
See it across your development workflows
Curious how this could work across your clinical development organization?
We'll review your development workflows, identify execution bottlenecks, and show where governed AI can accelerate delivery in a 30-minute working session.
Measured impact
Quantified outcomes after deploying Maxis AI's agentic workflows
| Metric | Before Maxis AI | After Maxis AI |
|---|---|---|
| SAP Development | 4–8 week SAP cycles | 85% faster SAP development |
| Protocol Documents | Manual drafting and coordination | Protocol-aware generation with expert review |
| Analysis Readiness | Manual programming and interim prep | 50–70% programming time savings |
| Quality Oversight | Static thresholds and reviews | Adaptive QTLs and governed RBQM |
| Clinical Decision Support | Disconnected workflows | Faster path from protocol to evidence readiness |
Outcome
Quantified Benefits
Clinical Development gained a governed execution model for faster planning, analysis readiness, and quality oversight
SAP Development: 85% faster SAP development
Protocol Documents: Protocol-aware generation with expert review
Analysis Readiness: 50–70% programming time savings
Quality Oversight: Adaptive QTLs and governed RBQM
Explore our AI Workforce Platform
See how AI agents are transforming study startup, data management, oversight, and regulatory submissions.