Potential Fraud or Waste

Overview

Development stage

In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

Not reported

Withheld from public reporting

Not reported

Mission

Topic area

Procurement and Financial Management

Operational functions

Fraud, waste and improper payments, Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

Quickly develop predictive analytics based on historical values captured and assessed within the Data Analytics Service (DAS) Dashboard. The dashboards allow various purchase card managers to monitor purchase card spending of employees. The dashboards help monitor for fraud, waste, and abuse, and assist in providing oversight for compliance with purchase card laws and policies. We have now incorporated advanced data analytics within the dashboard. The Advanced data Analytics model generates an expected received date for items. It then flags items that have gone beyond the expected generated date by flagging items that were received late (possible waste) and/or items that have not been received yet (possible fraud). This has the potential to save the analyst time by investigating cases that have been flagged as opposed to investigating potentially an entire dataset, which is what they have been doing up until now. The model analyzes all purchase card transactions including ordered, delivery, and received dates as its inputs. It outputs expected received dates. The intended users of the product are purchase card managers.

Expected benefits

- Delivers high value to Customers, Partners, and Stakeholders by enhancing user efficiency and analytical capacity. - Customers receive quick responses to data analysis questions, - Customers can communicate requests to the Chatbot using natural langue format, - Provides quick and accurate answers to inquiries - Provides 24/7 support - Reduces support team emails - Provides support for ad hoc data analytics requests - Improves scalability to support customers.

System outputs

Predictive analytics based on historical values captured and assessed within the Data Analytics Service (DAS) Dashboard.

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

System name(s)

Not reported

Custom-developed code

Not reported

Public source code

Not reported

Sourcing

How it was built

Not reported

Vendor (as reported)

Not reported

Vendors (standardized)

None on the standard list

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

Data and privacy

Involves PII

Not reported

Privacy Impact Assessment

Not reported

Authorization to Operate

Not reported

Demographic features

Not reported

Training and evaluation data

Not reported

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