SOLVD BLOG

n8n for Format AI Outputs & Create Salesforce Records (Part 4)

In the latest installment of our n8n automation series, we’ll dive into how to seamlessly convert AI-generated outputs into actionable Salesforce data records—completely hands-free. This approach empowers organizations to extract, format, and utilize AI insights inside Salesforce, eliminating manual data entry and supercharging your CRM automation workflows.

Recap: Previous Automation Steps

So far, our workflow has included:

  • Uploading a document via an online form
  • Extracting data from that document using n8n’s extract file node
  • Analyzing, summarizing, and generating insights from the extracted data with an OpenAI node

Until now, these outputs have remained as formatted text, often structured as JSON strings. However, to create Salesforce records, we need to convert this JSON-formatted text into actual JSON objects that n8n can iterate over.

Converting AI Output Text to JSON Objects

While the OpenAI node outputs text, n8n workflows demand real JSON objects for record creation. The most efficient solution: use a Code node in n8n. The Code node allows you to run custom JavaScript using data from previous nodes. By passing the AI model’s output as an input, you can parse the JSON string into an array of objects—ready for use in downstream nodes.

If you’re not a coding expert, n8n’s “Ask AI” feature can help. You can prompt it to generate sample JavaScript for transforming a JSON string into JSON objects that n8n can process. This not only accelerates development, but also reduces the risk of errors in formatting.

Creating Salesforce Records from Parsed Data

Once you have your data as JSON objects, it’s time to automate Salesforce record creation. n8n’s Salesforce integration features several nodes, including options for standard objects like Accounts and Contacts, plus a “Create custom object” node.

To use this:

  1. Connect your Salesforce account within n8n.
  2. Select the appropriate custom object—in this tutorial, we’re working with a custom “Commission Statement” object.
  3. Map JSON fields from your parsed data directly to the Salesforce object fields. Thanks to the structured formatting, this can be as simple as drag-and-drop.
  4. Execute the node—n8n will loop over each JSON object and create all corresponding Salesforce records. Each successful creation will return a Salesforce Record ID for verification.

End-to-End Automation Recap

Here’s what the full workflow automates:

  • Form submission triggers a file upload
  • Data is extracted from the uploaded file
  • AI model analyzes and summarizes data
  • Code node formats the AI output into iterable JSON
  • Salesforce node creates records, fully automated

This end-to-end automation takes what was once a tedious manual process—like creating commission statement records—and transforms it into a seamless, scalable solution.

Expand Your Automation Possibilities

With n8n, Salesforce, and AI working in harmony, your workflows can scale rapidly, letting you focus on what matters most: strategic analysis and business innovation. As your needs evolve, you can extend these principles to automate reporting, enrichment, or other CRM data processes with ease.

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