Abdul Matheen
I am an automation consultant at a multinational company with 18 years of experience in automation technologies, including RPA, Python, and VBA. I am also expanding my expertise by learning AI Agents to further enhance my skill set. Currently serving as delivery manager for a automation team.
Templates by Abdul Matheen
Automated invoice-PO matching with Google Gemini AI and email notifications
Automated Invoice-Processing AI Agent for n8n Overview The Automated Invoice-Processing AI Agent in n8n is designed to streamline and optimize invoice management for finance teams and accounts payable (AP) professionals. This solution addresses the common challenge of verifying invoice data manually, cross-checking it against purchase orders (POs), and ensuring compliance before releasing payments. By intelligently fetching invoices from Google Drive, extracting key details, validating them against PO records from Google Sheets, and automating the next actions, this system reduces human intervention, minimizes errors, and accelerates the payment process. Target Audience This automation primarily serves finance and AP teams responsible for managing large volumes of vendor invoices. It also supports finance managers, procurement departments, and auditors who require accuracy in payment reconciliation, ensuring that invoices align with approved POs before processing. Business Problem Addressed Organizations frequently struggle with time-consuming manual invoice verification and data entry. Discrepancies between invoices and purchase orders can lead to payment delays, compliance risks, or duplicate payments. This n8n-based AI agent automates that process—ensuring that every invoice is validated, exceptions are flagged to the finance team promptly, and payments of smaller value (under defined thresholds) are processed automatically. Prerequisites Active n8n account or self-hosted instance Google Drive and Google Sheets connected via n8n credentials LLM (AI node) configured for document extraction (optional but recommended) A Google Sheet set up with existing PO data (including PO Number, Amount, and Date fields) Setup Instructions Connect Google Drive and Google Sheets integrations within n8n. Configure the workflow trigger to monitor a designated "Invoices" folder. Add a document-parsing node to extract invoice details such as PO Number, Invoice Date, and Amount. Implement conditional logic: If the invoice amount > 5000, the agent cross-references PO details from the Google Sheet. If it matches, it updates the PO sheet status to “Process Payment.” If not, an automated email notifies the finance team. If the amount ≤ 5000, the workflow marks it for direct payment. Test the workflow with sample invoices before full deployment. Customization Options Adjust the payment threshold value (e.g., 10,000 instead of 5,000). Customize the email notification template and recipient list. Integrate with accounting systems such as QuickBooks or SAP for end-to-end automation. Add audit logging nodes to create traceability for every action taken. This AI-driven automation brings speed, accuracy, and scalability to invoice verification—empowering finance professionals to focus on analytical and strategic tasks rather than repetitive manual work.
Doctor appointment scheduler with Telegram, Gemini AI, and Google Sheets
AI Doctor’s Appointment Scheduler – Process Flow User Interaction via Telegram: The user sends a text or voice message through Telegram requesting a doctor’s appointment. Input Processing: The AI agent receives and interprets the user’s message to identify the doctor’s name, preferred date, and time. Doctor Information Retrieval: The agent accesses the doctor’s details stored in Google Sheets (or an Excel file). Schedule Verification: It checks the doctor’s availability for the requested date and time using the doctor’s schedule ledger or database. Availability Response: If the doctor is already booked, the agent informs the user and suggests alternative available slots. If the doctor is available, the agent proceeds to confirm the appointment details with the user. Appointment Confirmation & Booking: Once the user confirms, the agent records the appointment details in the Excel sheet (or Google Sheet). Confirmation Notification: The agent sends a confirmation message to the user through Telegram, summarizing the appointment details (doctor name, date, and time).
Automated student answer sheet evaluation with Gemini AI and Google Workspace
Description: This workflow automates the entire student exam evaluation process using AI and Google Workspace tools — no manual correction needed! Teachers simply submit a form with their name and a scanned copy of a student’s answer sheet. The flow then: Uses Gemini Document Analysis to extract answers from the scanned sheet. Passes the extracted answers to an AI Evaluation Agent, equipped with the Question Paper and Correct Answer Sheet (connected via Google Docs tools). The AI cross-checks each student answer, counts correct and incorrect responses, and calculates the total marks. The results are recorded in two Google Sheets: A Summary Sheet with overall student performance (Name, Teacher, Total Marks, etc.) A Detailed Report Sheet logging each question, correct answer, student’s answer, and correctness status. This workflow turns the tedious task of exam evaluation into a seamless AI-driven automation — ensuring speed, accuracy, and transparency in academic grading. Highlights: ✅ AI Document Understanding (Gemini Model) ✅ Intelligent Answer Comparison ✅ Automated Mark Calculation ✅ Real-Time Google Sheets Update ✅ No Code — Fully Built in n8n