How to Build an AI Agent to Extract Data from Financial Reports Using Pabbly Connect

Learn how to build an AI agent to extract data from financial reports using Pabbly Connect. This detailed tutorial guides you through the integration process step-by-step.

Watch Step By Step Video Tutorial Below

1. Setting Up Pabbly Connect for Financial Report Data Extraction

To begin automating the extraction of data from financial reports, you’ll need to set up Pabbly Connect. This platform serves as the central hub for integrating various applications, enabling seamless workflows. Start by signing up for a free account on Pabbly Connect’s website. Once registered, navigate to your dashboard.

On the dashboard, click on the ‘Create Workflow’ button. Name your workflow, for example, ‘AI Agent to Extract Financial Report Data’. Select the desired folder within your Pabbly Connect account where you want to save this workflow, and click ‘Create’. This initiates the setup process for your AI agent.

2. Integrating Google Drive with Pabbly Connect

The first step in the workflow involves integrating Google Drive with Pabbly Connect. This allows the AI agent to monitor a specific folder for new financial reports. In the trigger window, search for Google Drive and select it. Choose the trigger event as ‘New File in Specific Folder’.

• Click ‘Connect’ and select ‘Add New Connection’.
• Sign in with your Google account and allow access to Pabbly Connect.
• Select the folder containing the financial reports.

After configuring these settings, click ‘Save and Send Test Request’. This step will verify the connection by fetching details from the most recent file in the specified Google Drive folder, confirming that the integration is functioning correctly.

3. Extracting Data Using OpenAI with Pabbly Connect

Once Google Drive is connected, the next step involves sending the financial report to OpenAI for data extraction. In the action window of Pabbly Connect, search for OpenAI and select it. Choose ‘Extract Content from PDF Images’ as the action event.

To establish this connection, click ‘Connect’ and enter your OpenAI API key. You can obtain this key from your OpenAI account dashboard under the API keys section. After connecting, you will need to specify the model to use, such as GPT-4 Mini, and provide the URL of the document to extract data from.

• Map the PDF or image URL from the Google Drive trigger response.
• Enter a prompt for OpenAI, for example, ‘Extract the details from this financial report in structured format’.
• Provide a JSON schema to define the structure of the output.

After configuring these parameters, click ‘Save and Send Test Request’. This will execute the extraction process, and you should receive a structured response containing the extracted data from the financial report.

4. Adding Extracted Data to Google Sheets Using Pabbly Connect

The final step in this automation is to transfer the extracted data into Google Sheets. In Pabbly Connect, add a new action step and search for Google Sheets. Select ‘Add New Row’ as the action event.

Connect your Google Sheets account by clicking ‘Connect’ and signing in. After successful authentication, select the spreadsheet where you want to store the extracted data. Map the fields from the OpenAI response to the corresponding columns in your Google Sheet.

Map fields such as Business Name, Report Date, and Cash Equivalent to their respective columns. Ensure that all necessary fields are mapped correctly for accurate data transfer.

After mapping the fields, click ‘Save and Send Test Request’. This will add a new row to your Google Sheet with the extracted data from the financial report, completing the automation process.

5. Testing Your AI Agent for Data Extraction

With the setup complete, it’s time to test your AI agent. Upload a new financial report to the designated Google Drive folder. The AI agent, powered by Pabbly Connect, will check for new files every 10 minutes due to the polling-based connection.

After the upload, wait for the AI agent to process the file, extract the data using OpenAI, and populate the Google Sheet. Once completed, you should see a new row with the extracted data in your Google Sheet.

This testing phase confirms that your AI agent is functioning as intended. You can now automate the extraction of data from financial reports seamlessly using Pabbly Connect. Additionally, you can further customize the workflow as per your requirements.

Conclusion

In this tutorial, we demonstrated how to build an AI agent to extract data from financial reports using Pabbly Connect. By integrating Google Drive, OpenAI, and Google Sheets, you can automate the tedious process of data extraction efficiently. This automation not only saves time but also enhances accuracy in managing financial data.