Telegram intake & receipt extraction
Receive a screenshot and caption, identify the request and extract payment details into a structured format using AI.
PROJECT OVERVIEW / AI-assisted expense processing
From a receipt shared in Telegram to a structured expense record: AI extracts payment details, the workflow checks the submission and replies with a confirmation or a request for review.

THE PROJECT
This AI workflow connects Telegram submissions with SIDACC’s expense records. A staff member sends a payment screenshot with a short caption. The workflow normalises the request, checks approved names and purposes, and uses AI to extract payment information from the receipt.
The extracted details are prepared for the accounting backend, with the original evidence retained alongside the record. Telegram replies confirm the result and provide a reference for checking status or requesting corrections. Recovery checks and failure replies help keep an uncertain save from being presented as a confirmed success.
THE WORKFLOW IN PRACTICE
Illustrative examples with matching sample data. Personal details and payment identifiers have been replaced.
WHAT IT BRINGS TOGETHER
Receive a screenshot and caption, identify the request and extract payment details into a structured format using AI.
Check approved names and purposes, prepare the backend request and route information needing clarification for review.
Save expense information with its supporting receipt, then use a record reference for status checks and field corrections.
Return a confirmation or processing-status reply. Recovery checks and failure handling account for requests whose outcome needs verification.
THE USER JOURNEY
Share a receipt screenshot and a short expense caption through Telegram.
AI reads the payment details; the workflow checks and prepares the information for the backend.
Save the record with its evidence and reply with a reference for follow-up or corrections.
MORE RECENT WORK