Flag duplicate and risky AP invoices with Gmail, OpenAI and Supabase — n8n Workflow

Mittel Komplexität⚡ Auslöser15 Knoten🏷️ Invoice Processingvon Kumar SmartFlow Craft

Übersicht

🚀 How it works

Monitors your AP inbox for incoming invoices, extracts structured data with AI, runs duplicate and vendor history checks against Supabase, then scores each invoice for fraud risk — routing suspicious ones to Slack and your AP team before any payment is processed.

📬 Gmail Trigger monitors your accounts payable inbox in real time 🤖 AI Agent extracts invoice number, vendor, amount, currency, dates and line items into structured JSON — no manual data entry 🔍 Checks

Verwendete Knoten

SlackGmailSupabaseCodeAI AgentOpenAI Chat ModelStructured Output Parser

Workflow-Vorschau

AP Invoice Fraud Detection
Version 1.0.0 — Finance
Processes incoming invoices from Gmail, extracts struct
Prerequisites
- Gmail account receiving invoices (Gmail OAuth2 creden
- OpenAI API key (GPT-4o)
- Supabase project with two tables:
- invoices: invoice_number, vendor_name, amount, stat
Setup Required
1. Gmail Trigger — connect Gmail OAuth2 credential
2. Extract Invoice Data — connect OpenAI credential
3. Check Duplicates + Check Vendor History — connect Su
How It Works
1. Gmail Trigger detects new invoice emails (attach PDF
2. AI Agent extracts: invoice number, vendor, amount, i
3.
AI extracts structured invoice data from emai
Queries invoices table for existing records w
Consolidates duplicate rows into a single ite
Queries vendor history to detect unusual amou
Merges invoice data, duplicate count, and ven
AI Agent scores fraud risk using duplicate co
Routes to Slack alert path if risk requires h
Posts fraud alert to #invoice-alerts Slack ch
Logs every processed invoice to Supabase for
modelparsermodelparser
⚡
G
Gmail — Invoice Inbox
Extract Invoice Data
OpenAI — Extract
Invoice Data Schema
Check Duplicates
Count Duplicates
Check Vendor History
Merge All Context
Assess Fraud Risk
OpenAI — Risk
Fraud Risk Schema
H
High Risk?
Alert Slack
Send Hold Notice
Log Invoice to Supabase
15 nodes15 edges

So funktioniert es

  1. 1

    Auslöser

    Der Workflow startet mit einem auslöser-Auslöser.

  2. 2

    Verarbeitung

    Die Daten fließen durch 15 Knoten, connecting agent, code, gmail.

  3. 3

    Ausgabe

    Der Workflow schließt seine Automatisierung ab und liefert das Ergebnis an das konfigurierte Ziel.

Knotendetails (15)

SL

Slack

slack

#1
GM

Gmail

gmail

#2
SU

Supabase

supabase

#3
CO

Code

code

#4
AI

AI Agent

n8n-nodes-langchain.agent

#5
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#6
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#7

So importieren Sie diesen Workflow

  1. 1Klicken Sie rechts auf die Schaltfläche JSON herunterladen, um die Workflow-Datei zu speichern.
  2. 2Öffnen Sie Ihre n8n-Instanz. Gehen Sie zu Workflows → Neu → Aus Datei importieren.
  3. 3Wählen Sie die heruntergeladene Datei flag-duplicate-and-risky-ap-invoices-with-gmail-openai-and-supabase und klicken Sie auf Importieren.
  4. 4Richten Sie Anmeldedaten für jeden Dienstknoten ein (API-Schlüssel, OAuth usw.).
  5. 5Klicken Sie auf Workflow testen, um zu überprüfen, ob alles funktioniert, und aktivieren Sie es dann.

Oder direkt in n8n → Aus JSON importieren einfügen:

{ "name": "Flag duplicate and risky AP invoices with Gmail, OpenAI and Supabase", "nodes": [...], ...}

Integrationen

agentcodegmailgmailtriggeriflmchatopenaioutputparserstructuredslacksupabase

Diesen Workflow holen

Herunterladen und mit einem Klick importieren

JSON herunterladenAuf n8n.io ansehen
Knoten15
Komplexitätmedium
Auslösertrigger
KategorieInvoice Processing

Erstellt von

Kumar SmartFlow Craft

Kumar SmartFlow Craft

@smartflowautomate

Tags

agentcodegmailgmailtriggeriflmchatopenaioutputparserstructuredslacksupabase
⚡

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