LIVE WEBINAR

From Synopsis to Shortlist: How a Global CRO Used AI to Slash their Site Selection Timeline from Six Months to 26 Days

Site selection is one of the most time-consuming and costly stages of clinical trial startup. In this webinar, Ryght AI and Microsoft reveal how a leading global CRO used AI-powered site identification and automated feasibility outreach to compress a 3–6 month process into just 26 days, all while delivering 330% more qualified sites than originally targeted.

Join us for a real-world case study walkthrough, live Q&A, and a firsthand look at what AI-driven site selection looks like in practice.

March 24, 2026

9 AM PST/ 11 AM CST / 12 PM EST

Register for the webinar

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.

Screenshot 2026-03-05 at 3.08.36 PM

What you'll learn in this webinar:

  • Checkmark How to use early-stage protocol drafts in combination with AI to trigger site identification before the final protocol is even locked
  • Checkmark How Ryght's AI Site Twins work, and why they outperform traditional databases for site identification
  • Checkmark The exact process that compressed 6 months of feasibility work into 26 days
  • Checkmark How automated, personalized outreach drove an 89.5% site engagement rate
  • Checkmark Why delivering "interested" PIs is more valuable than just "capable" sites
  • Checkmark What the results meant for the CRO's timeline, cost, and negotiating leverage
GET A SNEAK PEEK

Take a guided tour of Ryght's AI-powered site selection capabilities

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