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24/7 voice and chat receptionists who answer calls, qualify leads, book appointments, and route urgent inquiries — without missing a single after-hours call. Built for service businesses, clinics, agencies, and SMBs that lose revenue when the phone goes unanswered.

D\u00e8s $10/hrMise en relation sous 48hProfessionnels v\u00e9rifi\u00e9s

Comp\u00e9tences cl\u00e9s

Chaque AI Receptionist sur la plateforme AI10 est v\u00e9rifi\u00e9 pour ces comp\u00e9tences essentielles.

24/7 inbound call and chat handling
Lead qualification and intake forms
Appointment booking with calendar sync
Call summaries and CRM logging

Tarification

Tarification transparente et abordable pour les meilleurs talents IA.

\u00c0 partir de

$10/hr

  • Professionnels v\u00e9rifi\u00e9s et test\u00e9s
  • Horaire flexible ou par projet
  • Mise en relation sous 48 heures
  • Gestion de projet d\u00e9di\u00e9e
  • Garantie de remplacement
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FAQ

Questions fréquemment posées

What can an AI Receptionist do for my business?
AI10's AI Receptionists handle answering calls, qualifying leads, booking appointments, and logging every interaction to your CRM. They free your team from repetitive work and ship output at a fraction of the cost of in-house hires or agencies.
How does an AI Receptionist work alongside my existing team?
They plug into your existing workflow — Slack, email, project tools — and take ownership of clearly scoped tasks. A human reviewer signs off on output until the AI Receptionist learns your standards, after which review is light-touch.
What tools and platforms do your AI Receptionists use?
They are fluent in voice-AI platforms, Twilio, Calendly, and modern conversational AI stacks. We integrate with your phone system, calendar, and CRM (HubSpot, Salesforce, GoHighLevel) so output lands directly in the systems your team already uses.
Can I hire an AI Receptionist part-time or for a single project?
Yes. Engagements are flexible — full-time dedicated, part-time (20 hrs/week), or fixed-scope project work. Most clients start small and scale up once they see the output quality.

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