AI Agent - Sales Agent Powered Call

This project automates identifying potential customers, following up via email, and confirming bookings through AI-powered calls.

Project Overview

In a fast-paced sales environment, speed-to-lead is critical. Manually monitoring an inbox, identifying high-intent leads, and scheduling calls is a time-consuming bottleneck that results in missed opportunities. This AI Sales Agent project was built to completely automate this process from end to end.

The system constantly monitors an inbox for new leads. Using AI, it analyzes the email's content to detect "booking intent." If a potential customer is flagged, the workflow automatically sends a polite follow-up to request a phone number. Once the number is received, the system uses an ElevenLabs-powered AI voice agent to place a natural, conversational call to the customer, confirm their interest, and schedule a meeting directly. The workflow is completed by automatically creating a Google Calendar invite and notifying the human sales team on Slack, turning a cold lead into a confirmed booking without any manual intervention.

Application Showcase

AI Sales Agent Project

Key Features

  • Automated Mailbox Monitoring: Periodically checks the inbox for new incoming emails.
  • AI Email Intent Analysis: Uses AI to detect if the sender wants to book a meeting.
  • Follow-Up Email Trigger: Automatically sends a follow-up email to ask for a phone number.
  • AI Voice Call via ElevenLabs: Places a call to the customer to schedule the meeting.
  • Meeting Creation: Generates a Google Calendar invite and sends it to the customer.
  • Slack Notification: Notifies the team via Slack when a new meeting is created.

Solutions

  1. Used a fine-tuned NLP model to analyze email content for booking intent.
  2. Created dynamic email templates for personalized follow-ups.
  3. Integrated with ElevenLabs API for high-quality, conversational AI voice calls.
  4. Utilized n8n to build robust workflows connecting email, AI, calendar, and Slack APIs.
  5. Implemented comprehensive logging and error-handling to monitor the automation pipeline.

Have a project in mind?

Let's build the future together. Tell us about your idea, and we'll provide a solution that drives results.

Get in Touch