DOE · DOE-433 · record R3311

Microsoft 365 Copilot (Productivity Suite)

Department of Energy · PNNL - Pacific Northwest National Laboratory (SC43 OIM)

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Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Does not meet any requiremnts for high Impact use case
Start date: 2024-10-01 (day precision)Source: 2024-10-01T00:00:00
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

Automate and streamline productivity tasks in Microsoft 365 apps for staff efficiency.

Expected benefits

This helps PNNL streamline workflows, improve efficiency, and allow researchers to focus more on innovation and less on administrative tasks, ultimately accelerating scientific research and operational effectiveness.

System outputs

Using Microsoft 365 Copilot, PNNL aims to produce enhanced document quality, increased efficiency, insightful data analysis, improved collaboration, automated workflows.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): R&D User
Custom-developed code: Yes
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: k) None of the above
Training and evaluation data: No
Federal Data Catalog: No

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