A voice-based AI agent that calls potential leads or clients to schedule appointments, demos, or consultations. It handles conversational nuances and integrates directly with calendars.
Businesses selling considered purchases, such as solar installations, home improvements or professional services, generate leads through web forms and ads, then struggle to call them back quickly. Sales reps are out on appointments, leads go cold within hours, and calling the same list repeatedly to find a suitable time is tedious work that often gets skipped.
An AI appointment setter built on a platform such as Vapi with Twilio and an LLM calls leads who have asked to be contacted, has a natural conversation to confirm interest and basic details, and books a consultation directly into a rep's Google or Outlook calendar. This must be used carefully: outbound AI calls are subject to Australian telemarketing rules, and the agent should only call people who have requested contact, identify itself honestly and respect calling hours.
Leads who submit an enquiry and agree to be contacted by phone are added to a call queue from the CRM, with their consent recorded.
Within permitted calling hours, the voice agent calls, identifies the business, says it is an AI assistant and explains why it is calling.
It confirms the lead's interest and a few qualifying details, such as property type or suburb, then checks rep availability through calendar APIs.
A suitable time is booked in the rep's calendar, the lead receives an SMS or email confirmation, and the transcript and outcome are saved to the CRM.
Leads who ask not to be called are flagged immediately, and questions the agent cannot answer are passed to a human for callback.
A solar panel company uses a Vapi-powered voice agent to call a list of warm leads. The agent converses naturally with homeowners, finds a suitable time for a consultation, and books it directly into a sales rep's calendar, so reps spend their time on consultations instead of phone tag.
Vapi, Twilio, OpenAI GPT models, Calendar APIs (Google Calendar, Outlook)
Outbound sales calls are regulated by the Do Not Call Register Act 2006 and the telemarketing industry standard, which set calling hours, require callers to identify the business and prohibit calling registered numbers without consent. Calling leads who requested contact is generally treated as consented, but keep records of that consent. State listening devices laws affect call recording, so tell people calls are recorded. SMS confirmations are commercial messages if they include promotion, requiring consent and an unsubscribe under the Spam Act 2003. The Australian Consumer Law applies to what the agent says about products, savings or rebates, so script it carefully.
This solution requires careful evaluation of cost-benefit ratio. Consider implementation only after thorough analysis and risk assessment.
It can be, when done properly. Telemarketing rules apply whether a human or AI makes the call: respect calling hours, identify the business, do not call Do Not Call Register numbers without consent and honour opt-outs. Calling warm leads who requested contact is the lower-risk use. Cold calling purchased lists with AI carries much higher risk.
Yes. Disclosing that the caller is an AI assistant is honest, reduces the risk of misleading conduct claims under the Australian Consumer Law and generally leads to better conversations. Most people are fine talking with an AI to book a time, provided it is clear, quick and offers a way to speak to a person.
Setup covers writing and testing the call script, connecting the CRM and calendar, configuring calling hours, opt-out handling and recording notices, and testing with internal staff before calling real leads. A sales manager should listen to early calls closely and refine the script before volume increases.
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