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Answer patient enquiries for a clinic by chat
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
n8n · Gemini
Check supplier invoices for duplicates and missing GST
Invoices arrive in a shared inbox, an AP tool extracts details, and an agent checks them against prior transactions to flag duplicates, wrong amounts or missing GST.
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported
Use case overview
Invoices arrive in a shared inbox, an AP tool extracts details, and an agent checks them against prior transactions to flag duplicates, wrong amounts or missing GST.
Reported experience
What they did
Supplier invoices land in a shared inbox, an AP tool captures the invoice data, and an agent compares each one with prior transactions to spot duplicates, wrong amounts, and missing GST. The poster connected the workflow with nexos.ai, said setup for the anomaly-checking agent took about 20 minutes, and still does the final review and approval manually.
How it went
The poster said this saves a surprising amount of time each month and now produces a weekly summary, shifting their time from data entry to review. They also said they would not trust AI to approve payments, file tax returns, or submit BAS without checking it first.
Worth knowing
The clearest practical catch is human signoff: even after a roughly 20-minute setup, they still review and approve invoices themselves.
Example prompts
Build a workflow where invoices arriving in [shared inbox] have their details extracted, then compared against previous transactions in [sheet or accounting tool]. Flag any duplicates, amounts that differ from the matching purchase order, and invoices missing [GST or VAT] number or charge. Output a review list to [sheet or Slack] and finish when a test batch is correctly flagged; do not approve or pay anything automatically.
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