AR Invoice Collection Workflow: Webhooks, HTTP API & AI

Turn overdue invoice collection requests into an AI-assisted action plan—automatically.

This n8n AR Invoice Collection Workflow receives an overdue-invoice request via webhook, enriches it with customer payment history, uses an external AI endpoint to rank personalized collection actions, executes the top recommendation, logs the activity to your AR/CRM system, and returns a complete collection plan with an audit trail.

What this workflow does

• Receives requests via POST webhook at the configured endpoint path /ar-collection, including invoice, customer, and overdue details.
• Validates required fields, assigns a `severity tier` based on days overdue and balance, and builds a customer context payload.
• Fetches customer history by calling an external HTTP endpoint to retrieve payment history and risk indicators.
• Generates ranked actions with AI by sending the enriched context to an external AI HTTP endpoint.
• Executes the primary recommended action by calling an external HTTP endpoint (e.g., sending an email, creating a task, or initiating a call—whatever your endpoint implements).
• Logs collection activity by calling an external AR/CRM HTTP endpoint.
• Returns a full collection plan in the webhook response, including AI recommendations, execution results, status codes, and next steps.

Use cases

• AR teams need faster responses to overdue invoices with consistent, auditable next steps.
• SaaS operators want to route overdue collection requests from internal tools into a controlled workflow.
• Automation engineers want a reusable webhook-driven pattern for AI-ranked customer outreach and AR/CRM logging.

Technical details

• Nodes used: webhook, code, http request, wait, respond to webhook, plus sticky note for workflow documentation.
• External HTTP integrations: customer-history/risk lookup, AI action-generation endpoint, action-execution endpoint, and AR/CRM logging endpoint (replace placeholder URLs such as httpbin.org).