What does the AI receptionist do?
It answers calls, qualifies leads, books appointments, sends texts and emails, organises inboxes, creates notes, routes urgent calls, and makes approved follow-up calls.
AI receptionist Q&A
The right setup depends on call volume, industry, calendar rules, human handoff, data needs, and the actions the agent should take after the greeting.
It answers calls, qualifies leads, books appointments, sends texts and emails, organises inboxes, creates notes, routes urgent calls, and makes approved follow-up calls.
It can use the company website, service pages, FAQs, opening hours, locations, scripts, pricing rules, documents, and owner-approved instructions.
Yes. It can connect to calendars or booking workflows, offer times, send confirmations, and notify the right team.
Yes. It can send booking links, payment links, document links, location requests, confirmations, reminders, and follow-up messages.
Yes, when it is approved in writing by the person whose voice is used. The public browser demo is only a basic sample; a live installation can use a far more natural company voice or a director-matched voice profile.
Yes, where approved. It can call back missed leads, confirm appointments, chase documents, request reviews, and remind customers.
Yes. Urgent, sensitive, high-value, complaint, or blocked calls can be transferred or escalated with a clean summary.
Yes. Multilingual call handling can be included, with transcripts and summaries kept readable for the business team.
It can replace or reduce routine front desk workload. Human staff can stay focused on exceptions, sales, fulfilment, and sensitive work.
Yes for larger organisations. Private and hybrid builds can reduce API dependency, improve cost control, and support stronger data requirements.
Website, phone setup, email inboxes, calendar, CRM, call volume, common questions, urgent scenarios, staff contacts, and the desired outcome.
Still have questions?
FrontDeskAgent can recommend API, hybrid, or private/self-hosted delivery based on call volume, budget, data sensitivity, and required integrations.
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