Solutions · SMB CRO
SMB CRO Scales Biometrics Delivery. SAP Development Time Reduced by 85%.
Maxis AI helps SMB CROs reduce programming time by 50-70%, achieve a SAP development time of 85%, save 200-400k per trial, and scale biometrics delivery.
50–70%
Programming time savings
85%
SAP development time reduction
$200K–400K
Savings per trial
70%
Manual programming effort reduced
WHO IT IS
The Context
This mid-sized CRO, based in Philadelphia, Pennsylvania, served biotech and pharma sponsors across oncology and rare disease programs.
The CRO had strong therapeutic expertise, but its biometrics delivery model remained constrained by manual statistical programming, long SAP development cycles, and high FSP programmer costs.
Sponsors expected faster SDTM/ADaM mapping, TFL generation, SAP development, validation, and audit-traceable delivery. Without quantifiable proof of scalable biometrics capacity, the CRO faced pressure when competing for larger sponsor programs.
The issue was not service quality alone. It was the ability to demonstrate enterprise-ready biometrics throughput without adding proportional programming headcount.
Challenges
Key barriers to Trial Execution
Limited Biometrics Scale Proof
- No clear proof of programming throughput
- Difficult to demonstrate enterprise-ready capacity
Manual Programming Burden
- 80% of time spent on repetitive SDTM/ADaM mapping
- Limited capacity for complex analysis
High Programmer Costs
- $180–220/hr FSP programmer costs
- 25–30% annual turnover
Slow SAP Development
- 4–8 week SAP development cycles
- SAP creation slowed trial readiness
Limited RBQM Differentiation{.ma
- Stronger data quality and oversig
- Fragmented dashboards limited vis
- Needed proof of governed, audit-t
Operational solution
Maxis AI agentic workflows — under human oversight throughout
Stat Programming AI
- AI-assisted SDTM/ADaM mapping and TFL generation
- Expert-supervised validation
Outcome
50–70% programming time savings
AI-Accelerated SAP Development
- SAPs generated in days, not weeks
- SAS, R, and Python support
Outcome
85% SAP development time reduction
Governed Biometrics Delivery
- Sponsor-owned AI-generated code
- Audit-traceable workflows with programmer oversight
Outcome
70% manual programming effort reduced
Maxis AI operates as a governed and supervised execution layer within existing systems throughout.
See it across your delivery model
Curious how this could work for your CRO?
We'll review your delivery model, identify execution bottlenecks, and show where governed AI can improve 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 |
|---|---|---|
| Programming Capacity | 80% time spent on repetitive SDTM/ADaM mapping | 50–70% programming time savings |
| SAP Development | 4–8-week SAP cycles | 85% reduction in SAP development time |
| Programming Cost | $180–220/hr FSP programmers | $200K–400K saved per trial |
| Manual Effort | Manual mapping, TFL generation, and validation | 70% manual effort reduced |
| Sponsor Confidence | Limited scalability proof | Stronger enterprise-ready biometrics capability |
Outcome
Quantified Benefits
The CRO strengthened its biometrics delivery model with faster SAP development, reduced programming effort, and clearer sponsor-facing proof of scalable execution
Programming Capacity: 50–70% programming time savings
SAP Development: 85% reduction in SAP development time
Programming Cost: $200K–400K saved per trial
Manual Effort: 70% manual effort reduced
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