Orchestrators / Life Sciences / AI Trial Enrollment

Life Sciences

AI Trial Enrollment

AI Trial Enrollment

Pre-screens and enrolls candidates into clinical trials.

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Section 01

Use Cases

  • AI Pre-Screener
  • AI Enroller
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Section 02

Features

Mass pre-screening outreach against inclusion/exclusion criteria with non-linear intake and ambiguous-answer clarification; eligibility documentation with auto-form filling (0.6% form-fill error benchmark); consent education; visit scheduling and live transfer to site coordinators; 24/7 inbound trial-inquiry line; multilingual with mid-call switching; predictive protocol and site intelligence.

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Section 03

ROI

Recruitment speed: Enrollment delay is among the costliest line items in development – population-scale pre-screening compresses months of coordinator calling into weeks.

Site efficiency: Coordinators interview pre-qualified candidates instead of dialing cold lists.

Longtail reach: Every referral, registry hit, and campaign response gets same-day follow-up. Measured: an inbound trial-inquiry line handled 2.5K+ inquiries (Jul 2026).

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Section 04

Additional Info

Trials rarely miss enrollment because eligible patients don’t exist. They miss because screening is a job nobody has hands for: hundreds of candidates per randomization, each needing an unhurried conversation about criteria, logistics, and fear. This product does the phone job at population scale. It calls every candidate the feasibility model surfaced, walks the I/E criteria conversationally – clarifying the ambiguous answers that break web screeners – documents eligibility cleanly, and hands the qualified, willing patient to a coordinator with the paperwork already done. Inbound curiosity from ads or registries gets answered the moment it arrives instead of aging in a queue. The site’s scarce humans start at the interview that matters.