Automate receipt capture from WhatsApp and transform it into a live, searchable expense ledger with automated reporting.
The AI agent receives receipt images or text via WhatsApp through WATI, uses GPT-4o Vision to extract vendor, amount, date, and currency, and categorizes expenses. It converts images into a data safe format and logs validated data into Google Sheets with automatic month tagging. Finally, it generates visual reports and sends them back to WhatsApp as shareable insights.
A concise, concrete description of the AI agent's capabilities.
Capture receipt images or text via WATI Trigger
Route input to the AI agent based on type (image vs text)
Extract vendor, amount, date, and currency with GPT-4o Vision
Convert receipt images to a data URL to ensure accuracy in AI processing
Log validated data into Google Sheets with month categorization
Generate and deliver WhatsApp reports with category breakdowns
This AI agent replaces fragmented manual work with a predictable execution flow.
A simple 3-step flow that non-technical users can follow.
The AI agent receives WhatsApp messages via WATI and routes images to Vision extraction or text commands to reporting.
GPT-4o Vision analyzes the receipt to extract vendor, amount, currency, and date, returning a structured data object.
A code node converts image data to a data URL and the AI agent logs data into Google Sheets with month tagging, then sends a formatted report back to WhatsApp.
A realistic scenario showing task execution and outcomes.
Scenario: A consultant travels and sends several receipt photos via WhatsApp. The AI agent processes each image in seconds, updates the Google Sheets ledger with date, amount, and category, and immediately returns a summarized expense report with visual bars to the WhatsApp chat.
One supporting sentence.
to track expenses on the go without clipping receipts.
to log billable expenses for client reimbursement.
to maintain a real-time budget directly from messaging.
to submit receipts via WhatsApp to a central ledger.
to consolidate receipts and audit data more efficiently.
to collect expenses from teams and ensure month-end accuracy.
One supporting sentence with practical usage inside each tool.
Receive WhatsApp messages and trigger the AI agent workflow.
Analyze receipt images and extract structured data.
Store the master expense ledger with automatic month tagging and reporting.
One supporting sentence with real-world scenarios for the AI agent.
One supporting sentence with common questions and clear answers.
The AI agent relies on receipt images with legible text. Handwritten notes may require higher-resolution images or pre-processing. If the extraction is uncertain, the item is flagged for review and logged for auditing. All outputs remain stored in the master Google Sheet.
Data is processed through your connected services. Use token-based authentication for each service and enable access controls. Logs are maintained for auditing, and you can add encryption at rest in Google Sheets if desired.
Yes. Category mappings can be configured in prompts to fit tax or accounting needs. The AI agent applies these mappings when exporting to Google Sheets, and you can adjust or add categories as requirements evolve.
Processing is near real-time. The AI agent extracts data and updates the ledger within seconds of submission, depending on image quality and API latency. Daily batch processing can be configured if needed.
Yes. The flow filters data by sender, ensuring receipts from different users are recorded in a single Google Sheet without data mixing.
The AI agent formats results and sends a WhatsApp message with a visual dashboard and summary. Report frequency can be daily, weekly, or monthly according to your preference.
If extraction fails, the AI agent flags the item for manual review and stores the image in an error queue. It retries later or routes to a human reviewer. All actions are logged for audit.
Automate receipt capture from WhatsApp and transform it into a live, searchable expense ledger with automated reporting.
