Flag duplicate and risky AP invoices with Gmail, OpenAI and Supabase — Flujo de trabajo n8n

Media complejidad⚡ Disparador15 nodos🏷️ Invoice Processingpor Kumar SmartFlow Craft

Descripción general

🚀 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

Nodos utilizados

SlackGmailSupabaseCodeAI AgentOpenAI Chat ModelStructured Output Parser

Vista previa del flujo de trabajo

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

Cómo funciona

  1. 1

    Disparador

    El flujo de trabajo comienza con un disparador disparador.

  2. 2

    Procesamiento

    Los datos fluyen a través de 15 nodos, connecting agent, code, gmail.

  3. 3

    Salida

    El flujo de trabajo completa su automatización y entrega el resultado al destino configurado.

Detalles de nodos (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

Cómo importar este flujo de trabajo

  1. 1Haz clic en el botón Descargar JSON a la derecha para guardar el archivo del flujo de trabajo.
  2. 2Abre tu instancia de n8n. Ve a Flujos de trabajo → Nuevo → Importar desde archivo.
  3. 3Selecciona el archivo flag-duplicate-and-risky-ap-invoices-with-gmail-openai-and-supabase descargado y haz clic en Importar.
  4. 4Configura las credenciales para cada nodo de servicio (claves API, OAuth, etc.).
  5. 5Haz clic en Probar flujo de trabajo para verificar que todo funcione, luego actívalo.

O pega directamente en n8n → Importar desde JSON:

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

Integraciones

agentcodegmailgmailtriggeriflmchatopenaioutputparserstructuredslacksupabase

Obtener este flujo de trabajo

Descarga e importa con un solo clic

Descargar JSONVer en n8n.io
Nodos15
Complejidadmedium
Disparadortrigger
CategoríaInvoice Processing

Creado por

Kumar SmartFlow Craft

Kumar SmartFlow Craft

@smartflowautomate

Etiquetas

agentcodegmailgmailtriggeriflmchatopenaioutputparserstructuredslacksupabase
⚡

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