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Ops·n8n workflow

AI Invoice Payment Reminders & Tracker

Auto-send payment reminders at 30/15/7 days past due, track cash flow, and flag risky accounts in Slack — so you never leave money on the table.

Overview

**What it automates:** Schedule trigger (daily) → query invoice database for overdue items → OpenAI analyzes payment patterns and risk → sends gentle/firm reminders based on history → Google Sheets tracks cash flow metrics → Slack flags accounts >60 days overdue. **Business outcome:** Late payments crush cash flow. SaaS companies see 30-45% of revenue delayed 30+ days beyond terms. Smart reminders (personalized tone, payment history context) increase on-time payment by 25%. **Apps & nodes:** Accounting tool API (Stripe, QuickBooks, FreshBooks), OpenAI (reminder tone + risk scoring), Gmail (reminder emails), Google Sheets (DSO dashboard), Slack (risk alerts) **Setup (5 steps):** 1. Connect accounting platform (Stripe, QB, FreshBooks) and define invoice query 2. Add OpenAI API key for tone/risk analysis 3. Set reminder schedule (30/15/7 days past due) 4. Customize email templates per risk tier (friendly vs. firm) 5. Connect Slack for DSO (Days Sales Outstanding) alerts **Difficulty:** Intermediate (20 min setup) | **Credentials:** Accounting platform, OpenAI, Gmail, Slack, Google Sheets

What's included

Importable n8n workflow (JSON)
Real, wired nodes — trigger, logic, and actions
Setup notes: which credentials to connect
Free updates when the workflow changes
Commercial-use license — keep and customize
Email support if you get stuck

Quickstart

  1. 01

    Download the JSON

    With an active Library Pass, download the workflow file right from this page or your dashboard.

  2. 02

    Import into n8n

    Choose Import from File and select the downloaded JSON. The full agent graph appears, ready to configure.

  3. 03

    Plug in credentials

    Each integration node prompts for credentials on first run. The setup guide lists every credential the agent expects.

  4. 04

    Activate and test

    Run once with sample input, confirm the expected output, then flip the activate toggle.

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