Automate Invoice-Bank Statement Reconciliation with Mistral AI and OpenAI GPT-4 — Flujo de trabajo n8n

Media complejidad⚡ Disparador9 nodos🏷️ Invoice Processingpor Vinay Gangidi

Descripción general

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

Nodos utilizados

Microsoft Excel 365Microsoft OneDriveCodeAI AgentOpenAI Chat ModelMistral AI

Vista previa del flujo de trabajo

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

Cómo funciona

  1. 1

    Disparador

    El flujo de trabajo comienza con un disparador disparador.

  2. 2

    Procesamiento

    Los datos fluyen a través de 9 nodos, connecting agent, code, lmchatopenai.

  3. 3

    Salida

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

Detalles de nodos (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

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 automate-invoice-bank-statement-reconciliation-with-mistral-ai-and-openai-gpt-4 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": "Automate Invoice-Bank Statement Reconciliation with Mistral AI and OpenAI GPT-4", "nodes": [...], ...}

Integraciones

agentcodelmchatopenaimanualtriggermicrosoftexcelmicrosoftonedrivemistralai

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Descarga e importa con un solo clic

Descargar JSONVer en n8n.io
Nodos9
Complejidadmedium
Disparadortrigger
CategoríaInvoice Processing

Creado por

Vinay Gangidi

Vinay Gangidi

@vgangidi

Etiquetas

agentcodelmchatopenaimanualtriggermicrosoftexcelmicrosoftonedrivemistralai
⚡

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