Summarizing Inspection Actions and Results for Future Inspectors
Description
The Office of Inspection (IN) is leveraging the Business Improvement Section (ACB) to automate a large number of their work processes.
Detailed example
A rough draft of inspection results would be generated for review and approval.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Distilling large data sets, interpreting graphs, writing final reports, and summarizing results is time consuming. An AI prompt can assist in creation of a rough draft in significantly less time as opposed to the time and effort commitment from DEA's human capital resources. Cost savings could be achieved from reduced full-time equivalents spent on generating end user products. In addition, the turnaround time involved with many inspection result findings work processes would decrease.
Audit / financial statement impact
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.
Controls / human review
ATO: No; PIA: Not published
Data needed
The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.