DOE · DOE-603 · record R3459
Microsoft Copilot (Pilot)
Department of Energy · WAPA - Western Area Power Administration (PMA)
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
- AI output does not serve as a principal basis for decisions or action with legal, material, binding or signficant effect on high impact areas.
- Start date
- 2025-08-01 (day precision)Source: 2025-08-01T00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Other
- Operational functions
- Software development assistance Derived by keyword rules; see methodology
Problem the AI is intended to solve
Improve general office productivity
Expected benefits
Content creation and drafting, data analysis and summerization, personalized learning and research
System outputs
Content review recommendations, content summaries, how to instructions.
Technology
- AI classification
- Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
- System name(s)
- Microsoft Copilot
- 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
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Yes
- Demographic features
- Not reported
- Training and evaluation data
- No agency content used for training.
- Federal Data Catalog
- Not reported
Governance
8 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Pre-deployment testingReported in progressSource: b) In-progress
AI impact assessmentReported in progressSource: b) In-progress
Independent reviewReported in placeSource: a) Yes – by another appropriate agency office or reviewer not directly involved in the AI’s development
Ongoing monitoringReported in progressSource: b) Development of monitoring protocols is in-progress
Operator trainingReported in progressSource: b) Establishment of sufficient and periodic training is in-progress
Fail-safeReported in placeSource: a) Yes
Appeal processNot applicableSource: b) Not applicable
User and public consultationReported in progressSource: e) In-progress
Potential impacts and how they were identified
Not reported