A basic conversational AI system for automating cold calls using OpenAI for conversation logic and ElevenLabs for voice generation. Features prospect greeting, qualifying questions, response logging, and human transfer capabilities.
For many small sales teams, the first call to a new prospect is mostly screening: is this the right person, do they have the need, and is now a sensible time? Reps spend hours on calls that end quickly, and notes from those calls rarely make it into a shared system. Good prospects may wait because reps are tied up with people who were never a fit.
An AI cold call qualification bot handles that first screen with a short, scripted conversation. OpenAI manages the dialogue, ElevenLabs provides a natural voice and Twilio places the calls during business hours. The bot asks a small set of qualifying questions, records answers in Google Sheets and the CRM, and transfers promising prospects straight to a human rep while others receive a polite follow-up email.
A calling list is loaded from the CRM or a sheet after checking it against the Do Not Call Register and internal opt-out lists.
The bot calls during permitted hours, introduces itself as an automated assistant for the named business and asks whether the person has a moment.
It asks the agreed qualifying questions, such as current solution, team size or timing, and uses the LLM to interpret answers and handle simple clarifications.
Answers and a qualification result are written to Google Sheets and the CRM; qualified prospects are transferred live to an available rep.
Prospects who are not ready receive a consented follow-up email, and anyone who declines further contact is added to the suppression list.
A sales team deploys a cold-calling AI that greets prospects, asks 2-3 qualifying questions about their business needs, logs responses in a Google Sheet, and transfers qualified leads to human sales reps. The system operates during business hours and follows up with unqualified leads via email.
OpenAI GPT models, ElevenLabs voice synthesis, Twilio for calling, Google Sheets API, CRM integration
Outbound sales calls are telemarketing, even when an AI makes them, so the Do Not Call Register Act 2006 and the telemarketing industry standard apply, including permitted calling hours, caller identification and honouring requests to stop. If calls are recorded or transcribed, give notice at the start, as state listening devices laws differ and some require consent from all parties. Follow-up emails require consent and an unsubscribe under the Spam Act 2003. Logged answers in Google Sheets are personal information under the Privacy Act 1988, so restrict sharing and delete data that is no longer needed.
This solution requires careful evaluation of cost-benefit ratio. Consider implementation only after thorough analysis and risk assessment.
This is a deliberately simple screener. It asks a handful of questions, records the answers and hands over to a person. It does not try to pitch, negotiate or handle complex objections. That narrow scope makes it faster to build, easier to keep compliant and less likely to annoy prospects.
Yes. Disclosing that the caller is an automated assistant is honest, reduces complaints and avoids potentially misleading conduct. Telemarketing rules also require identifying the business on whose behalf you are calling. Most prospects will engage briefly if the call is short and clearly explained.
Within one to two weeks for a basic version, assuming the calling list, qualifying questions and accounts are ready. Most of that time is spent refining the script, testing voice quality and transfers with internal staff, and confirming compliance steps before calling real prospects.
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