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AI Impact Assessment Governance Platform

A public-sector governance workflow for assessing, disclosing, and overseeing agency AI use, including impact assessments, bias analysis, strategic alignment reporting, hiring transparency, AI-generated media guidance, and rulemaking support.

The Problem

“Government AI Governance and Impact Assessment Platform”

Organizations face these key challenges:

1

AI use cases are tracked inconsistently across agencies and programs

2

Impact assessments are manual, slow, and difficult to compare

3

Bias and civil-rights risks are often reviewed late or with incomplete evidence

4

Policy, legal, procurement, and technical reviewers work in disconnected workflows

5

Leadership lacks a current inventory of AI systems, risk levels, and approvals

6

Disclosure and reporting obligations require repetitive data collection from agencies and employers

7

Rulemaking and policy teams face large document volumes with limited analytical support

8

Media authenticity guidance is hard to operationalize without standard provenance checks

Impact When Solved

Standardizes AI impact assessments and disclosures across agenciesReduces manual compliance review time for AI registrations and annual reportingImproves traceability of bias analysis, approvals, and remediation actionsEnables portfolio-level oversight of AI systems against strategic goalsSupports defensible human oversight for automated decision-makingCreates reusable governance controls for hiring, tax, procurement, media, and rulemaking use cases

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

AI-generated media watermarking guidance for agencies

California plans rules for marking AI-made or heavily edited images and videos so people know what is synthetic.

Content provenance and compliance labelingguidance development stage.
10.0

AI-assisted IRS audit case selection for noncompliant tax returns

Use AI to help the IRS spot which tax returns are most likely incorrect so auditors spend time on the riskiest cases.

Risk scoring and ranking for decision supportearly-to-mid stage government deployment with existing model use but design improvements still recommended.
10.0

AI-assisted rulemaking analysis in administrative processes

Use AI to help government teams read, organize, and analyze rulemaking-related information faster.

Document analysis and decision-support for policy workflowsearly-stage exploratory
10.0

Annual employer reporting on AI use in hiring

The bill would make employers tell the state each year whether and how they used AI tools when hiring people.

Structured information collection and compliance reportingproposed regulatory workflow, not yet an established deployed program in the source.
10.0

Cross-asset municipal command center for automated risk scoring, work orders, and capital planning

Bring road, utility, facility, and fleet data into one AI system that scores risk, creates work orders automatically, and helps leaders plan budgets years ahead.

decision intelligence orchestration across perception, prediction, and optimizationproposed platform-level workflow combining existing eam/cmms capabilities with ai scoring and planning outputs.
10.0
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