Project Description
I need an AI-powered calling workflow that will telephone 250 airports and 250 tourism boards spread across roughly 250 different states or regions worldwide. For each organisation the agent must confirm, on the call, the following:
• the full name, direct phone number and email address of the Head of Marketing
• the official name of their Advertising & PR agency (or agencies)
I already hold many of the numbers, and I will add the rest to the dial list before we start. Every call has to sound natural—human-like, not robotic—and must be recorded end-to-end. I will later review both the MP3 files and the call logs, so clear labelling of each recording is essential.
Because calls will span several continents, the voice bot needs to switch fluidly between at least twenty languages (English, Spanish, French, German, Mandarin, Arabic and the rest that the platform supports). If your stack can cover “all major languages,” even better. Accents should be region-appropriate to maximise answer rates.
Deliverables I expect at hand-off:
1. A master spreadsheet (Excel or Google Sheets) containing the verified contact data for all 500 organisations, time-stamped and source-attributed.
2. A folder of call recordings, each file named with the organisation and date.
3. A brief daily progress summary so I can monitor completion against the 500-call target.
I’m open to whichever tools—Dialogflow, Twilio Voice, Aircall, Microsoft Cognitive Services, etc.—get the job done, as long as voice quality is realistic and switching languages is seamless. Let me know how you will handle incorrect numbers, gatekeepers, and GDPR/consent compliance, and the approximate runtime per call so I can forecast timeline.