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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DOI · DOI-0001 · record R2742

Integration of AI, specifically CoPilot for GitHub, for BTFA Software Development Life Cycle Process for DME and O&M applications.

Department of the Interior · BTFA

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
Not reported
Start date
2025-10-01 (day precision)Source: 10/1/2025
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Information Technology
Operational functions
Software development assistance Derived by keyword rules; see methodology

Problem the AI is intended to solve

Reductions in BTFA Application and Database Staff has lead to increase workload for remaining staff for DME and O&M activities of applications and servers. This code is considered sophisticated in nature, code resides in Azure App Workspace (Web/Function/Logic Apps) and standalone applications and servers.

Expected benefits

Due to reduce staffing, BTFA needs to integrate AI for its DME and O&M of applications and servers (database/application/web/etc) which has sophisticated code base. AI has show promise in reducing staff hours for all phases of SDLC.

System outputs

changes in source code after review by application/dba staff along with appropriate testing before going to production.

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
No
Public source code
github.com ↗

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
No
Demographic features
k) None of the above
Training and evaluation data
No data is used
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.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported