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

复杂度 触发器15 个节点🏷️ Invoice Processing作者:Kumar SmartFlow Craft

概览

🚀 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

使用的节点

SlackGmailSupabaseCodeAI AgentOpenAI Chat ModelStructured Output Parser

工作流预览

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

工作原理

  1. 1

    触发器

    工作流由 触发器 触发器启动。

  2. 2

    处理

    数据流经 15 个节点, connecting agent, code, gmail。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (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

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例,依次点击 工作流 → 新建 → 从文件导入
  3. 3选择下载的 flag-duplicate-and-risky-ap-invoices-with-gmail-openai-and-supabase 文件并点击导入。
  4. 4为每个服务节点配置 凭证(API 密钥、OAuth 等)。
  5. 5点击 测试工作流 验证一切正常,然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴:

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

集成

agentcodegmailgmailtriggeriflmchatopenaioutputparserstructuredslacksupabase

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点15
复杂度medium
触发器trigger

创建者

Kumar SmartFlow Craft

Kumar SmartFlow Craft

@smartflowautomate

标签

agentcodegmailgmailtriggeriflmchatopenaioutputparserstructuredslacksupabase

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