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

Mittel Komplexität⚡ Auslöser9 Knoten🏷️ Invoice Processingvon Vinay Gangidi

Übersicht

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

Verwendete Knoten

Microsoft Excel 365Microsoft OneDriveCodeAI AgentOpenAI Chat ModelMistral AI

Workflow-Vorschau

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

So funktioniert es

  1. 1

    Auslöser

    Der Workflow startet mit einem auslöser-Auslöser.

  2. 2

    Verarbeitung

    Die Daten fließen durch 9 Knoten, connecting agent, code, lmchatopenai.

  3. 3

    Ausgabe

    Der Workflow schließt seine Automatisierung ab und liefert das Ergebnis an das konfigurierte Ziel.

Knotendetails (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

So importieren Sie diesen Workflow

  1. 1Klicken Sie rechts auf die Schaltfläche JSON herunterladen, um die Workflow-Datei zu speichern.
  2. 2Öffnen Sie Ihre n8n-Instanz. Gehen Sie zu Workflows → Neu → Aus Datei importieren.
  3. 3Wählen Sie die heruntergeladene Datei automate-invoice-bank-statement-reconciliation-with-mistral-ai-and-openai-gpt-4 und klicken Sie auf Importieren.
  4. 4Richten Sie Anmeldedaten für jeden Dienstknoten ein (API-Schlüssel, OAuth usw.).
  5. 5Klicken Sie auf Workflow testen, um zu überprüfen, ob alles funktioniert, und aktivieren Sie es dann.

Oder direkt in n8n → Aus JSON importieren einfügen:

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

Integrationen

agentcodelmchatopenaimanualtriggermicrosoftexcelmicrosoftonedrivemistralai

Diesen Workflow holen

Herunterladen und mit einem Klick importieren

JSON herunterladenAuf n8n.io ansehen
Knoten9
Komplexitätmedium
Auslösertrigger
KategorieInvoice Processing

Erstellt von

Vinay Gangidi

Vinay Gangidi

@vgangidi

Tags

agentcodelmchatopenaimanualtriggermicrosoftexcelmicrosoftonedrivemistralai
⚡

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