Answer patient enquiries for a clinic by chat
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
An unnamed staffing firm used voice AI agents to contact and screen candidates, reportedly reaching 2,000 in a week; weak, vendor-adjacent account.
An unnamed staffing firm used voice AI agents to contact and screen candidates, reportedly reaching 2,000 in a week; weak, vendor-adjacent account.
The source gives only a short account of a finance and accounting staffing firm that deployed voice AI to source and engage candidates. It doesn't name the vendor or describe the setup. Elsewhere, the article describes the general workflow: the agent calls or invites candidates, asks qualifying questions, scores the answers, and books interviews with a human recruiter, who gets a summary.
The firm reportedly sourced 2,000 candidates in seven days, against four weeks before. It held 455 conversations and made 10 placements, and claims $215,000 in added revenue. The firm is unnamed and the figures are unverified.
The article is a vendor blog post that promotes its own platform. Treat the figures as unverified marketing claims, and note that it gives no cost or setup details.
Build me an assistant that screens candidates for [role] from this list: [spreadsheet or ATS link]. It should send each person a short screening message or call script asking about [key questions], record answers, and score them against [criteria]. Before sending any outreach, pause and show me the message and the first batch of recipients. You're done when I have a sheet of responses ranked by fit.
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
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