DOE · DOE-682 · record R3539
ServiceNow LANL AI Portal Integration
Department of Energy · LANL - Los Alamos National Lab (LAFO)
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
- ServiceNow's AI output is NOT a principal driver of a government decision that would meaningfully affects people's rights, safety, critical access, or strategic assets. AI in ServiceNow is strictly used to help manage IT resources for LANL.
- Start date
- 2024-11-01 (day precision)Source: 2024-11-01T00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Information Technology
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Provide GenAI capabilities for use in multiple use cases for the IT divisions at LANL
Expected benefits
Improved automation
System outputs
Recommendation
Technology
- AI classification
- Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
- System name(s)
- ServiceNow
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Developed in-houseSource: b) Developed in-house
- Vendor (as reported)
- ServiceNow
- Vendors (standardized)
- ServiceNow
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
- k) None of the above
- Training and evaluation data
- Existing LANL IT ticket data stored in GCC Data Center certified as FedRAMP High. Training servers in same environment.
- 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 placeSource: a) Yes
AI impact assessmentReported in placeSource: a) Yes
Independent reviewReported in placeSource: a) Yes – by another appropriate agency office or reviewer not directly involved in the AI’s development
Ongoing monitoringReported in placeSource: a) Yes, sufficient monitoring protocols have been established
Operator trainingReported in placeSource: a) Yes, sufficient and periodic training has been established
Fail-safeReported in placeSource: a) Yes
Appeal processReported in placeSource: a) Yes, an appropriate appeal process has been established
User and public consultationOther or ambiguous answerSource: d) Other
Potential impacts and how they were identified
Minimal impact as AI is used purely for predictive purposes to aid trained technicians. Humans remain the decision makers whether to use the AI's output.