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Agency AI Use-Case Oversight Registry

Centralizes agency AI use-case intake, inventory, risk review, compliance oversight, and public disclosure to support responsible generative AI adoption, transparency, and program integrity across government operations.

The Problem

“Agency AI governance and use-case oversight for responsible public-sector AI adoption”

Organizations face these key challenges:

1

AI use cases are tracked inconsistently across bureaus and components

2

Risk reviews depend on manual interpretation of policy and incomplete submissions

3

Public disclosure and reporting require labor-intensive data consolidation

4

Compliance evidence is scattered across forms, emails, and attachments

5

Oversight teams cannot keep up with transaction anomalies, public comments, or regulated activity volumes

6

Agencies need strong human-in-the-loop controls, audit logs, and explainability

Impact When Solved

Create a single authoritative inventory of agency AI use casesReduce intake-to-review cycle time with automated classification and document extractionImprove consistency of privacy, civil-rights, security, and legal compliance checksSupport public disclosure and federal reporting with traceable workflow dataPrioritize high-risk use cases and suspicious transactions for human reviewMaintain auditable decisions, evidence, and reviewer actions across the lifecycle

The Shift

Before AI~85% Manual

Human Does

  • •Review every case manually
  • •Handle requests one by one
  • •Make decisions on each item
  • •Document and track progress

Automation

  • •Basic routing only
With AI~75% Automated

Human Does

  • •Review edge cases
  • •Final approvals
  • •Strategic oversight

AI Handles

  • •Automate routine processing
  • •Classify and route instantly
  • •Analyze at scale
  • •Operate 24/7

Real-World Use Cases

Federal agency generative AI use and management programs

Federal agencies are using or organizing tools that can draft, summarize, or answer questions, while also setting rules for how staff can use them safely.

Content generation and summarization with policy-constrained decision supportearly-to-mid adoption; active use and management are established enough to warrant gao review, but details on scale and standardization are not provided in the source excerpt.
10.0

AI-assisted fraud and improper payment detection in public-sector payment programs

Use AI to scan government payment data and flag transactions or claims that look suspicious so staff can investigate faster.

Anomaly detection and risk scoring for transaction reviewearly-to-mid stage public-sector adoption; positioned as promising but dependent on data quality and skilled staff.
10.0

AI-supported detection of regulatory noncompliance from large data streams

Use AI to scan lots of records or signals and flag patterns that may indicate someone is breaking the rules.

Anomaly detection and pattern recognitionconceptually mature in analytics terms, but sensitive in regulatory enforcement because legitimacy, transparency, and error costs are high.
10.0

Agency-wide AI governance workflow for use-case intake, risk review, and compliance oversight

GSA set up a formal team structure to check AI projects before and during use, so the agency can use AI without breaking rules or creating unsafe outcomes.

Human-in-the-loop governance and decision workflowoperational governance framework in place
10.0

Department-wide AI use case inventory and public disclosure workflow

DOJ keeps a shared catalog of where it is using AI, checks those entries with leaders, sends the list to OMB, and publishes the releasable parts so the public can see how AI is being used.

Knowledge management and classification workflow for cataloging and consolidating AI use cases.operational and institutionalized as an annual department-wide process.
10.0
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