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Published on
March 18, 2025
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In today’s data-driven world, AI phone calls are transforming how businesses collect real-world information at scale. With Olleh AI’s voice-driven API, developers and organizations can automate phone calls to gather actionable insights whether it’s checking plumber rates in Seattle, identifying pet-friendly restaurants in Birmingham, or uncovering property ownership details globally.
From private equity firms sourcing small businesses for acquisition to real estate analysts verifying property ownership, Olleh AI streamlines data collection, saving time and reducing manual effort. In this guide, we’ll show you how to automate phone calls, extract critical business information, and update your spreadsheets or databases efficiently.
The first step is to place an AI-powered phone call using Zapier:
Set Up a Workflow: Copy our Zapier template to get started. Choose a trigger like the Zapier scheduler or connect it to spreadsheets or databases for advanced automation.
Add Olleh AI Phone Call Block: Sign in with your API key, select “Send Phone Call,” and input the recipient’s number.
Create Your AI Prompt: Example prompt:
“You are Olleh, an AI assistant. When the person answers, ask for the business owner’s name, explain your interest in making a purchase, and request their contact details.”
Test the Workflow: Run the workflow to ensure the AI call functions smoothly.
This step allows you to automatically reach businesses and initiate data collection calls with ease.
Once the call is complete, it’s time to analyze the transcript:
Create a Second Workflow: Use a webhook triggered after the initial call. Copy the webhook URL into the phone call block.
Catch the Transcript: In the second workflow, configure the webhook event to “Catch Hook” to receive call data.
Extract the Transcript: Select Olleh AI, set the event to “Get Transcript,” and input the call ID from the webhook.
Test the Workflow: Verify that you receive a full transcript of the conversation for further processing.
This step ensures all phone call data is accurately captured for analysis.
Next, extract key details like the owner’s name and contact info using OpenAI and Zapier:
Connect OpenAI to Zapier: Create an OpenAI account and generate an API key.
Extract Owner Name: Add an OpenAI block with the prompt:
“From the transcript, extract the business owner’s name.”
Link the transcript from Olleh AI to the prompt and test to ensure accurate results.
Extract Contact Details: Add another OpenAI block with the prompt:
“Retrieve the business owner’s contact number(s) from the transcript, separated by commas if multiple.”
Test to confirm the AI accurately returns contact information.
With this workflow, you can automate the extraction of valuable business data efficiently.
Finally, automate the process of updating your Google Sheets or database:
Set Up Google Sheets: Authenticate your account in Zapier and create a spreadsheet with columns like “Business Owner Name” and “Contact Information.”
Map OpenAI Outputs: Connect the AI outputs for name and contact to the corresponding columns in the spreadsheet.
Test the Integration: Run a test to ensure data is updated accurately and efficiently.
This completes a fully automated pipeline, from calling businesses to storing structured data in your database.
By combining Olleh AI’s voice automation with Zapier workflows, businesses can collect real-world data at scale without manual effort or outsourcing. Automating phone calls, analyzing transcripts, and updating spreadsheets enables organizations to:
Save time and operational costs
Gather accurate business information quickly
Build comprehensive databases for research, sales, or marketing purposes
With Olleh AI, data collection has never been easier or more efficient. Start leveraging AI-powered phone calls today to transform the way your business gathers actionable insights.