Extracting Data from Receipts to Speed Travel Reimbursement or Provide Logbook Documentation

Overview

Development stage

PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.

Start date

2025-09 (month precision)Source: 09/2025

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Administrative Functions

Operational functions

Document processing and extraction Derived by keyword rules; see methodology

Problem the AI is intended to solve

Gas receipts need to be reconciled / logged into FIRM – the AI would capture the data and can be used to record the receipt (reducing loss of paper) and eventually upload into FIRM reducing human data entry and time. IN also inspects receipts as part of their inspection. The laboratories also audit their OGV logbooks more than once annually. This would be a great pilot to expand into scanning and recording information from other purchases into UFMS and automate that process as well.

Expected benefits

Cost savings, live data entry of OGV use (miles and fuel consumption), streamlining of voucher packet creation

System outputs

The output is a CSV file.

Technology

AI classification

Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).

System name(s)

Redacted for cybersecurity purposes.

Custom-developed code

No

Public source code

Not reported

Sourcing

How it was built

Purchased from vendorSource: a) Purchased from a vendor

Vendor (as reported)

Microsoft

Vendors (standardized)

Microsoft

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

Yes

Privacy Impact Assessment

Not reported

Authorization to Operate

No

Demographic features

k) None of the above

Training and evaluation data

The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.

Federal Data Catalog

Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported