Automate Invoice-Bank Statement Reconciliation with Mistral AI and OpenAI GPT-4 — рабочий процесс n8n

Средняя сложность Триггер9 узлов🏷️ Invoice Processingот Vinay Gangidi

Обзор

Cash Reconciliation with AI

This template automates daily cash reconciliation by comparing your open invoices against bank statement transactions. Instead of manually scanning statements line by line, the workflow uses AI to:

Match transactions to invoices and assign confidence scores Flag unapplied or review-needed payments Produce a reconciliation table with clear metrics (match %, unmatched count, etc.)

The end result: faster cash application, fewer errors, and better visibility into your

Использованные узлы

Microsoft Excel 365Microsoft OneDriveCodeAI AgentOpenAI Chat ModelMistral AI

Предпросмотр рабочего процесса

Problem Statement
Cash reconciliation is one of the most time-consuming a
Value:
Time saved: Removes repetitive manual matching.
Cash flow visibility: Gives near real-time reconciliati
Error reduction: Uses AI confidence scoring and reasons
*Input*:
Open invoices are loaded from Excel.
Daily bank statement is fetched from OneDrive.
OCR extracts transaction data from the statement.
*AI Processing*:
Both invoice data and bank transactions are passed into
The model evaluates and returns:
Transaction → Invoice matches
Confidence scores
Unmat
*Post-Processing*:
Custom code nodes parse the AI output.
Results are converted into a structured table with colu
Bank Transaction Date
Description
Amount
*Possible Enhancements*:
1. Getting Invoice data from Data Table such as Snowfla
2. Getting Bank Statement from Bank accounts directly
3. Posting the Data back to either ERP Syste
model
W
When clicking ‘Execute w…
Extract text
Get Bank Statement
Code in JavaScript
OpenAI Chat Model1
Get Transaction, Matches…
Extract the Data from Un…
Process the Invoice Vs B…
Get Invoice Data
9 nodes8 edges

Как это работает

  1. 1

    Триггер

    Рабочий процесс запускается триггером триггер.

  2. 2

    Обработка

    Данные проходят через 9 узлов, connecting agent, code, lmchatopenai.

  3. 3

    Вывод

    Рабочий процесс завершает автоматизацию и доставляет результат в настроенное место назначения.

Детали узлов (9)

MI

Microsoft Excel 365

microsoftExcel

#1
MI

Microsoft OneDrive

microsoftOneDrive

#2
CO

Code

code

#3
AI

AI Agent

n8n-nodes-langchain.agent

#4
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#5
MI

Mistral AI

mistralAi

#6

Как импортировать этот рабочий процесс

  1. 1Нажмите кнопку Скачать JSON справа, чтобы сохранить файл рабочего процесса.
  2. 2Откройте ваш экземпляр n8n. Перейдите в Рабочие процессы → Новый → Импорт из файла.
  3. 3Выберите скачанный файл automate-invoice-bank-statement-reconciliation-with-mistral-ai-and-openai-gpt-4 и нажмите Импортировать.
  4. 4Настройте учётные данные для каждого узла сервиса (ключи API, OAuth и т.д.).
  5. 5Нажмите Протестировать рабочий процесс, чтобы убедиться в правильной работе, затем активируйте его.

Или вставьте напрямую в n8n → Импорт из JSON:

{ "name": "Automate Invoice-Bank Statement Reconciliation with Mistral AI and OpenAI GPT-4", "nodes": [...], ...}

Интеграции

agentcodelmchatopenaimanualtriggermicrosoftexcelmicrosoftonedrivemistralai

Получить этот рабочий процесс

Скачайте и импортируйте одним кликом

Скачать JSONПросмотреть на n8n.io
Узлы9
Сложностьmedium
Триггерtrigger
КатегорияInvoice Processing

Создан

Vinay Gangidi

Vinay Gangidi

@vgangidi

Теги

agentcodelmchatopenaimanualtriggermicrosoftexcelmicrosoftonedrivemistralai

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🔗 Webhook·12 nodes