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SMB CRO Wins Enterprise Bids. 2–3× Growth. $200–400K Saved.
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Outcomes
What we did
2–3×
Portfolio visibility
80–90%
Manual coordination cycles
$200–400K
Governance across all teams
0
Milestone predictability
About Company
This mid-sized CRO, based out of Philadelphia, Pennsylvania, had been serving the oncology and rare diseases segment for biotech/pharma clients in the region but had been unable to demonstrate the scalability of biometrics capabilities to sponsors.
In terms of delivering on SDTM/ADaM programming speed, and data quality, the CRO had been unable to demonstrate quantifiable proof to win bids for the sponsors.
From an internal perspective, the cost of programming per hour ranged between $180 and $220. The process of reconciliation was also bandwidth intensive. Scaling also meant hiring.
In terms of delivering on SDTM/ADaM programming speed, and data quality, the CRO had been unable to demonstrate quantifiable proof to win bids for the sponsors.
From an internal perspective, the cost of programming per hour ranged between $180 and $220. The process of reconciliation was also bandwidth intensive. Scaling also meant hiring.
Challenges
Key Barriers
to Trial Execution
No Biometrics Proof
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No quantifiable biometrics capacity
Lost enterprise bids
Unable to demonstrate SDTM/ADaM throughput
Manual Bandwidth
70–80% effort on SDTM/ADaM mapping
Limited capacity for new work
Heavy manual dependency
High Programmer Costs
$180–220/hr rates
25–30% annual turnover
Quality variability and margin pressure
Slow SAP Cycles
4–8 week development timelines
Uncompetitive in enterprise bids
Delays in delivery
No Portfolio Oversight
No RBQM or portfolio-level visibility
Disqualified in enterprise opportunities
Lacks governance maturity
Core platform
Operational Solution
Maxis AI Agentic Workflows — Under Human Oversight Throughout
Stat Programming AI
70% SDTM/ADaM + TFL automation
SAP timelines cut from weeks to days
80–90% faster SAP
Centralized Orchestration
Automated cleaning and query resolution
Scales without FTE growth
$200–400K per trial savings
RBQM + Data Oversight
Unified portfolio-level visibility
Enterprise-grade governance capability
2–3× deal size growth
Maxis AI operated as a governed and supervised execution layer within existing systems throughout.
Core platform
Measured Impact
Quantified Outcomes After Deploying Maxis AI’s Agentic Workflows
| Metric | Before Agentic AI | After Agentic AI |
|---|---|---|
| Biometrics Capacity | Lost bids; no clear capability proof points | Enterprise wins; measurable throughput demonstrated |
| SAP Timelines | 4–8 week SAP; high programmer costs at $180–220/hr | SAP in days; $200K–$400K savings per trial |
| Delivery Scalability | Headcount-limited; couldn’t scale without hiring | 2–3× deal size growth without proportional FTE expansion |
| Operational Visibility | Reactive — issues identified post-monitoring | Continuous, predictive — risks flagged weeks in advance |
| Sponsor Confidence | Moderate — limited proof of enterprise-grade capability | Strong — RBQM and quantified throughput as competitive proof points |
Outcomes
The CRO transformed from an SMB perceived as capacity-limited to an enterprise-capable biometrics delivery partner — winning bigger programs without hiring.
2–3× deal size growth — enterprise bids now won
80–90% faster SAP timelines — weeks reduced to days
$200K–$400K savings per trial vs. FSP rates
Higher margins without a proportional headcount increase
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