Inflo

Inspiration

In today's fast-paced business world, reaching out to potential clients efficiently is crucial. Inspired by the need to streamline business communications, I envisioned a system where AI agents could automatically call leads from a database, engage in meaningful conversations, and schedule follow-ups. This idea stemmed from the challenges faced by startups and businesses in manually managing outreach efforts, often leading to inefficiencies and missed opportunities.

What it does

This project automates business outreach by using AI agents to make phone calls to potential clients. When a new phone number is added to the system, the AI agent:

Calls the recipient automatically.

Engages in a conversation using a predefined script.

Collects relevant information such as client interest and inquiries.

Schedules follow-up actions if necessary, such as setting up appointments.

Logs responses and insights for future reference.

This eliminates the need for manual dialing and ensures businesses can scale their outreach efforts efficiently.

How we built it

1. Backend Automation with n8n & Zapier

Set up a Google Sheet as the database for storing phone numbers.

Used Zapier Webhooks to receive new phone entries from the frontend.

Created an automated workflow in Zapier that:

Triggers when a new row is added to Google Sheets.

Sends the phone number to Bland AI.

Initiates an AI-driven call with pre-configured prompts.

1. AI Agent for Calls

Integrated Bland AI to handle conversational AI.

Designed a script for the AI agent to:

Introduce itself professionally.

Engage in a conversation about the business offering.

Capture client interest and schedule appointments if necessary.

1. Frontend Integration

Built a web form where users can input phone numbers.

Connected the form to Zapier Webhooks, ensuring real-time data flow to Google Sheets.

Allowed users to input a custom message that gets dynamically added to the AI agent’s prompt.

Challenges we ran into

Zapier Record Selection Issue

Initially, Zapier required manual selection of spreadsheet records for each automation run.

Solution: Used Webhooks to Google Sheets instead of a direct Sheets trigger, allowing dynamic row updates.

Delayed AI Calls

The AI agent took 3+ minutes to initiate calls after data entry.

Solution: Switched from Google Sheets triggers (5-15 min delay) to Zapier Webhooks (instant trigger).

Seamless Frontend-Backend Communication

Needed to ensure user inputs (phone number and custom messages) were directly mapped in Bland AI.

Solution: Used Zapier Webhooks to send real-time data and dynamically populate AI agent fields.

This project demonstrated how AI and automation can revolutionize client outreach by reducing manual effort and improving efficiency. By leveraging tools like Zapier, n8n, and Bland AI, I successfully built a system where AI agents handle business calls seamlessly, allowing companies to focus on higher-level tasks. Looking ahead, I plan to enhance the AI's conversational abilities and integrate analytics to track outreach performance.

Built With

• blandai
• lovable
• n8n
• openai
• zapier