The problem
Critical information, salary expectations, availability, notice period, requires back-and-forth communication. Phone calls go unanswered. Emails get buried. Recruiters waste time chasing basic data points.
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Availability, salary expectations, notice periods, get the information you need through automated email conversations. Candidates respond at their convenience; you get structured data.
Two night-shift ICU nurses in Austin, licensed in Texas, start in March.
Critical information, salary expectations, availability, notice period, requires back-and-forth communication. Phone calls go unanswered. Emails get buried. Recruiters waste time chasing basic data points.
Scrini AI captures candidate information through conversational email Q&A. The AI agent asks questions, parses responses and structures data, all automatically. Candidates respond when convenient; you get clean data in your ATS.
Info capture triggers automatically based on pipeline stage or can be initiated manually. Responses are parsed in real-time and synced to candidate records. Incomplete captures trigger follow-ups until data is collected.








GreenhouseLeverWorkdayPhone tag, scattered emails, unstructured notes.
Automated conversations, structured data, clean ATS records, complete capture history.
Book a 20-minute walkthrough tailored to your hiring stack. We'll show you exactly how this capability fits your workflow.
Any information you define: salary expectations, availability, notice period, work authorization, relocation preferences, skill confirmations and more.
The agent asks clarifying follow-up questions. If responses remain unclear after multiple attempts, the candidate is flagged for human review.
Data syncs to candidate records in your ATS/CRM. You can also view capture history within Scrini AI's dashboard.