Summarizing Inspection Actions and Results for Future Inspectors
Department of Justice · Department of Justice / DEA
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
- 2025-07 (month precision)Source: 07/2025
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Administrative Functions
- Operational functions
- Summarization Derived by keyword rules; see methodology
Problem the AI is intended to solve
The Office of Inspection (IN) is leveraging the Business Improvement Section (ACB) to automate a large number of their work processes.
Expected benefits
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.
System outputs
A rough draft of inspection results would be generated for review and approval.
Technology
- AI classification
- Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
- System name(s)
- Redacted for cybersecurity purposes.
- Custom-developed code
- Yes
- Public source code
- Not reported
Sourcing
- How it was built
- Developed in-houseSource: b) Developed in-house
- 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
- 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