Invoice information extraction assistant

Chatbots and user support

Chile - Chamber of Deputies

Use case ID: 055

Author: Chamber of Deputies of Chile

Date: 20 August 2024

Objective:

Extract relevant information from expense accreditation documents such as receipts or invoices. This use case describes part of a suite of AI-based products. The CAMINAR platform supports legislative work with the help of AI. It emerged as an innovative response to the challenges faced by the National Congress of Chile during the COVID-19 pandemic and owing to the country’s political situation. The project seeks to leverage the digital strengths of the Chamber of Deputies by utilizing its regulatory repository and parliamentary databases.

Actors:

  • Officials: to access an efficient and intuitive tool to support the regulation of public fund usage 

Prerequisites:

  • Database
  • Vectorized regulations documentation
  • Formatted files of expense accreditation documents
  • Appropriate prompt
  • System to integrate the tool into its production phase 

Scenario:

  1. Officials involved in approving expenses related to parliamentary work receive a proposed endorsement result accompanied by the extracted information. They validate the proposal by indicating data correctness. The goal is to quickly extract the document, store it rapidly and make it available for consumption by other assistants. 

Expected results:

  • The time taken to extract data from documents is reduced.
  • The extraction error rate is reduced owing to a second review.
  • Accuracy rates are quantified for image data extraction technologies. 

Potential challenges:

  • Need for human validation at all times
  • Possible error margins (independent of LLMs) in image data extraction technologies 

Data requirements:

  • Updated database for assistant consumption
  • LLM’s own knowledge 

Integrations with other systems:

  • Parliamentary allowances management system (ASIGPAR) 

Success Metrics:

  • Accuracy of the response, when correctness can be determined
  • Speed of the response, related to the requirements of repetitive tasks
  • Impact on post-implementation operational performance variables

 

The Use cases for AI in parliaments collection is published by the IPU’s Centre for Innovation in Parliament as part of the Parliamentary Data Science Hub’s project to create guidelines for AI governance in parliaments.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International licence. It may be freely shared and reused with acknowledgement of the author and the IPU. 

A use case describes how a system should work. It is used to plan, develop and measure implementation. A use case is not the same as a case study, which is a descriptive text of an actual project’s implementation. Please note that this use case is provided “as is” and neither the IPU nor the author accepts any responsibility for its use.

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