AI Use Case Inventory

An AI use case inventory is a documented catalog of artificial intelligence applications in use across an organization, including details about each system's purpose, data inputs, business owners, and risk level. Maintaining this inventory is foundational to AI governance because it creates visibility into where AI is deployed, who depends on it, and what could go wrong if it fails or produces biased results. Without knowing what AI systems exist and what they do, compliance teams cannot assess regulatory risk, audit for fairness, or respond effectively to incidents.

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EnforcementUS2026-09-29

IRS Deployed High-Impact AI With No Testing Records in 80% of Cases

The Treasury Inspector General for Tax Administration (TIGTA) found that four of five high-impact IRS AI use cases had no testing documentation. This was true even though data quality checks were being performed. TIGTA concluded this creates undetectable risk of inaccurate, biased, or unreliable AI outputs. IRS management agreed to standardize procedures and complete AI impact assessments for deployed systems by November 2026.

IRS federal AI compliance AI use case inventory data quality documentation OMB requirements TIGTA AI impact assessment audit readiness