Flag duplicate and risky AP invoices with Gmail, OpenAI and Supabase — n8n ワークフロー

複雑度 トリガー15個のノード🏷️ Invoice Processing作成者:Kumar SmartFlow Craft

概要

🚀 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

使用ノード

SlackGmailSupabaseCodeAI AgentOpenAI Chat ModelStructured Output Parser

ワークフロープレビュー

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

仕組み

  1. 1

    トリガー

    このワークフローは トリガー トリガーで開始します。

  2. 2

    処理

    データは 15 個のノードを流れます, connecting agent, code, gmail。

  3. 3

    出力

    ワークフローは自動化を完了し、設定された宛先に結果を配信します。

ノード詳細 (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

このワークフローのインポート方法

  1. 1右側の JSONをダウンロード ボタンをクリックしてワークフローファイルを保存します。
  2. 2n8nインスタンスを開き、ワークフロー → 新規 → ファイルからインポート に進みます。
  3. 3ダウンロードした flag-duplicate-and-risky-ap-invoices-with-gmail-openai-and-supabase ファイルを選択し、インポートをクリックします。
  4. 4各サービスノードの 認証情報(APIキー、OAuthなど)を設定します。
  5. 5ワークフローをテスト をクリックして動作確認し、有効化します。

またはn8nの JSONからインポート に直接貼り付け:

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

インテグレーション

agentcodegmailgmailtriggeriflmchatopenaioutputparserstructuredslacksupabase

このワークフローを取得

ワンクリックでダウンロード&インポート

JSONをダウンロードn8n.ioで見る
ノード15
複雑度medium
トリガーtrigger
カテゴリInvoice Processing

作成者

Kumar SmartFlow Craft

Kumar SmartFlow Craft

@smartflowautomate

タグ

agentcodegmailgmailtriggeriflmchatopenaioutputparserstructuredslacksupabase

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