CASE STUDY - PHASE I/II ONCOLOGY

How a Global CRO Used AI to Compress 6 Months of Site Selection into 26 Days

A leading global CRO needed 13 qualified research sites for a complex first-in-human oncology protocol. Using AI-powered site selection and automated feasibility outreach, they received 43 sites in 26 days, more than triple their goal.

"We needed 13 sites. We had months of manual work ahead of us and a protocol that was anything but simple." 

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Results at a glance

SITES DELIVERED VS GOAL

330%
The CRO needed 13 qualified sites. They received 43, without compromising on quality or investigator fit.

DAYS TO COMPLETION

26
From initial kickoff to a finalized qualified

site list, all completed in under a month.

ENGAGEMENT RATE

89.5%
Nearly 9 in 10 targeted research sites responded to the outreach campaign, far exceeding industry norms.

NEW SITE CONTACTS

212
Verified PI, sub-PI, and coordinator contact information surfaced and validated across all targeted research sites.

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What You'll Learn:


  • Checkmark How this CRO replaced months of manual outreach and spreadsheet tracking with AI
  • Checkmark The two-phase AI approach: Network Navigator for site identification + Feasibility Accelerator for automated engagement campaigns
  • Checkmark How automated multi-channel outreach drove an 89.5% site response rate
  • Checkmark Day-by-day breakdown: from protocol upload to 43 engaged sites in 26 days
  • Checkmark Downstream impact: reduced labor, negotiation leverage, and smarter future site selection
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