AI Voice Agent CRM and what's app Automation
Budget / Salary₹1,500–12,500
TypeFreelance project
LocationRemote
Posted2 hours ago
Key Responsibilities & Workflow
CRM Integration & Trigger:
Automatically fetch lead data (Name, Phone Number, Service/Course Interest, Background Notes) from our CRM via API or webhook.
Trigger outbound calls automatically when a new lead enters the CRM or on scheduled triggers.
Conversational AI Voice Agent:
Develop a low-latency, human-sounding conversational voice agent (using tools like Vapi, Bland AI, Retell AI, or LiveKit + Deepgram/ElevenLabs/Cartesia).
Implement custom prompt engineering to handle interruptions, answer common questions, collect details, and maintain natural flow.
Accurately categorize and qualify the lead's status (e.g., Interested, Not Interested, Call Back Later, No Answer).
Data Logging & CRM Updates:
Write call outcomes, transcripts, recordings, and qualification tags back into the respective CRM contact profile immediately upon call completion.
Instant WhatsApp Notifications:
Send instant WhatsApp alerts to the admin/team (via Twilio, Gupshup, Meta WhatsApp Business API, or Make/Zapier) when a lead is tagged as "Interested" or requires immediate human attention.
Alerts should include: Lead Name, Phone, Status, Key Interest, and Call Summary.
Automated Follow-Up Sequences:
Implement multi-step automated messaging sequences across set intervals (e.g., immediate follow-up, Day 2, Day 5, Day 10).
Deliver customized messages depending on the qualification outcome (e.g., nurture sequence for warm leads, information brochure for requests, check-in for unanswered calls).
CRM Integration & Trigger:
Automatically fetch lead data (Name, Phone Number, Service/Course Interest, Background Notes) from our CRM via API or webhook.
Trigger outbound calls automatically when a new lead enters the CRM or on scheduled triggers.
Conversational AI Voice Agent:
Develop a low-latency, human-sounding conversational voice agent (using tools like Vapi, Bland AI, Retell AI, or LiveKit + Deepgram/ElevenLabs/Cartesia).
Implement custom prompt engineering to handle interruptions, answer common questions, collect details, and maintain natural flow.
Accurately categorize and qualify the lead's status (e.g., Interested, Not Interested, Call Back Later, No Answer).
Data Logging & CRM Updates:
Write call outcomes, transcripts, recordings, and qualification tags back into the respective CRM contact profile immediately upon call completion.
Instant WhatsApp Notifications:
Send instant WhatsApp alerts to the admin/team (via Twilio, Gupshup, Meta WhatsApp Business API, or Make/Zapier) when a lead is tagged as "Interested" or requires immediate human attention.
Alerts should include: Lead Name, Phone, Status, Key Interest, and Call Summary.
Automated Follow-Up Sequences:
Implement multi-step automated messaging sequences across set intervals (e.g., immediate follow-up, Day 2, Day 5, Day 10).
Deliver customized messages depending on the qualification outcome (e.g., nurture sequence for warm leads, information brochure for requests, check-in for unanswered calls).
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