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Predict tenant default risk with GPT-4o, Gmail, Slack and collections APIs

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Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

How It Works This workflow automates tenant screening by analyzing payment history, credit, and employment data to predict rental risks. Designed for property managers, landlords, and real estate a...

Best for

  • Document Extraction automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.switch, n8n-nodes-base.gmail

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title
Predict tenant default risk with GPT-4o, Gmail, Slack and collections APIs
Workflow name
Predict tenant default risk with GPT-4o, Gmail, Slack and collections APIs

How It Works

This workflow automates tenant screening by analyzing payment history, credit, and employment data to predict rental risks. Designed for property managers, landlords, and real estate agencies, it solves the challenge of objectively evaluating tenant reliability and preventing payment defaults.The system runs daily assessments, fetching rent payment history, credit bureau reports, and employment records. An AI agent merges this data, calculates risk scores, and routes alerts based on severity. High-risk tenants trigger immediate email notifications for intervention, medium-risk cases post to Slack for monitoring, while low-risk updates save quietly to databases. Automated collection workflows initiate for high-risk cases.

Setup Steps

  1. Configure payment history, credit bureau, and employment credentials in fetch nodes
  2. Add OpenAI API key for risk analysis and set Gmail/Slack credentials for alerts
  3. Customize risk score thresholds and routing rules in workflow logic

Prerequisites

Payment system API, credit bureau access, employment verification API

Use Cases

Rental application screening, existing tenant monitoring

Customization

Modify risk scoring criteria, adjust alert thresholds

Benefits

Reduces defaults through early detection, eliminates screening bias

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Daily Risk Assessment Schedule

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.3

Block 2 - Workflow Configuration

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 3 - Fetch Credit Bureau Data

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 4 - Merge Tenant Data

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 5 - Risk Analysis AI Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 6 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 7 - Risk Score Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 8 - Route by Risk Level

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3.4

Block 9 - Send High Risk Alert Email

Type / Role
n8n-nodes-base.gmail - gmail
Config choices
Version 2.2

Block 10 - Send Medium Risk Notification

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.4

Block 11 - Trigger Automated Collection

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 12 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 17 - Fetch Employment Records

Type / Role
n8n-nodes-base.bambooHr - bambooHr
Config choices
Version 1

Block 18 - Get a rent payment item

Type / Role
n8n-nodes-base.payPal - payPal
Config choices
Version 1

Block 19 - Create or update a record

Type / Role
n8n-nodes-base.airtable - airtable
Config choices
Version 2.1

3. Summary Table

Workflow Predict tenant default risk with GPT-4o, Gmail, Slack and collections APIs
Complexity advanced
Nodes 19
Categories Document Extraction, AI Summarization
Author Cheng Siong Chin
Published 27 Dec 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/12197/12197.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Predict tenant default risk with GPT-4o, Gmail, Slack and collections APIs do?

How It Works This workflow automates tenant screening by analyzing payment history, credit, and employment data to predict rental risks. Designed for property managers, landlords, and real estate a...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.