Repair Spend
Description
The AI is to review financial documents and then classify each expense as money spent on "facility repairs" or "not facility repairs".
Detailed example
The output of the model is a recommendation of which financial transactions should be identified as "repair" expenses.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The expected benefits include reduction of manual hours identifying the types of transactions.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Approximately 14,000 financial transactions were used to train the model and finetune its parameters. Approximately 3,500 financial transactions were used to test the performance of the final model.