TIER 2 · REGULATORY WATCH · GOVERNMENT AND PUBLIC SECTOR AI
Audit infrastructure / for public sector AI.
Government AI systems making eligibility determinations, permit approvals, benefits calculations, and public health allocations are under the strictest AI accountability requirements of any sector. EU AI Act Annex III explicitly lists public administration as high-risk. US OMB AI memoranda require transparency documentation for all federal AI systems.
EU AI Act Annex III — public administration is explicitly listed. Enforcement August 2, 2026.
REGULATORY OBLIGATIONS
EU AI Act
Aug 2 2026 / Dec 2 2027*
Annex III — high-risk: public administration
Public administration AI is an explicit Annex III high-risk category. Article 12 requires continuous, structured, exportable logs. Government bodies using AI for eligibility, benefits, or permit decisions must produce defensible audit evidence by enforcement date.
US OMB M-25-21 / M-25-22
Active · US federal
Federal AI governance and acquisition (April 3, 2025)
OMB M-25-21 (Accelerating Federal Use of AI) and M-25-22 (Driving Efficient Acquisition of AI) — issued April 3, 2025, rescinding the prior Biden-era memos M-24-10 and M-24-18 — are the operative US federal AI governance framework. M-25-21 requires agencies to designate Chief AI Officers, maintain AI use case inventories, and document AI risk management for high-impact uses. M-25-22 establishes procurement standards for AI acquisition including auditability requirements. Both require traceable evidence for consequential AI decisions — Yolo's audit chain satisfies both.
DoD AI Ethics Principles + CDAO
Active · US DoD
Responsible AI — Traceable and Governable principles
DoD's 5 AI Ethics Principles include "Traceable" (audit trails for all AI decisions and data used) and "Governable" (ability to deactivate systems when behavior is unintended or harmful). The Chief Digital and AI Office (CDAO) implements these through the Responsible AI toolkit and procurement requirements for all DoD AI acquisition. JADC2 (Joint All-Domain Command and Control) specifically requires traceable decision logs for AI-assisted command decisions. Applies to all DoD prime contractors and subcontractors.
FedRAMP — Cloud AI Authorization
Required for federal cloud AI
Federal Risk and Authorization Management Program
Cloud AI services used by US federal agencies require FedRAMP authorization at IL2 (CUI), IL4 (Controlled Defense Information), or IL5 (National Security Systems) depending on data sensitivity. Public-chain anchoring via Base mainnet is compatible with IL2/IL4 — audit chain writes are cryptographic digests, not PII or controlled data. TS/SCI classified workloads requiring air-gapped deployment are incompatible with public-chain anchoring; those are addressed in the Tier 4 Military & Defense segment.
NIST AI RMF
Active · v1.1
Govern · Map · Measure · Manage
The practical US AI governance framework for federal contractors and agencies. Requires evidence-based governance with traceable audit trails. Yolo's audit chain and reputation oracle satisfy the Measure function directly.
National AI offices
Building globally
40+ countries establishing AI governance
AI regulatory bodies are being established in the EU, UK, Canada, Singapore, Japan, Brazil, and others. All are converging on audit trail requirements for government AI. Early procurement of compliant infrastructure positions agencies ahead of mandate.
* EU AI Act Annex III enforcement date: August 2, 2026 (legally operative). EU Digital Omnibus provisional agreement (May 7, 2026) proposes extending to December 2, 2027 — not yet formally enacted. Prepare for the earlier date.
HOW YOLO SATISFIES IT · PRIMITIVE → REQUIREMENT
PRIMITIVE
REQUIREMENT SATISFIED
AUDIT CHAIN
Annex III Article 12 · OMB AI governance
Every eligibility determination, permit decision, and benefit calculation logged in an append-only, hash-chained record anchored to public blockchain. Reproducible by any third party including legislative oversight bodies — without trusting the agency or Yolo.
IDENTITY REGISTRY
Accountable AI system identification · procurement traceability
Each government AI system has a unique, verifiable identity. Version changes are traceable. Procurement documentation can reference a specific agent identity as the responsible system — satisfying audit expectations for software version control.
DECISIONAL LOGGING
Per-decision capture for high-risk public decisions
Consequential tier for eligibility and permit decisions. High-stakes tier for benefits denials and enforcement actions with major life impact. Structured evidence payloads satisfy the "right to explanation" requirement under both EU and US frameworks.
AUDIT CHAIN AND IDENTITY REGISTRY ARE LIVE ON BASE MAINNET TODAY.
PRICING · DECISIONAL LOGGING TIERS
ROUTINE
$0.0001 / event
Routine events
CONSEQUENTIAL
$0.01 / event
Consequential events
HIGH-STAKES
$0.10 / event
High-stakes events
VOLUME NOTE
Single AI system at 10M consequential events/year × $0.01 = $100K/year per system. Large federal agency runs 50–200+ AI systems (SSA benefits, VA claims, CMS fraud detection, IRS classification, DHS immigration). At 100 systems × $100K = $10M/year baseline before high-stakes layer. Department-wide deployment (DoD, DHS) spans multiple contracts with total program value $100M+.
SCALE
$1M–$75M/year per agency. Procurement via the GSA Multiple Award Schedule (MAS, IT category — formerly "Schedule 70"), SEWP V, CIO-SP4, OASIS+, or Alliant 3 bypasses full 18–36 month cycle. Department-wide deployments (DoD, DHS) span multiple agency contracts. EU AI Act enforcement August 2026 creates procurement urgency for EU government AI.
WHO BUYS THIS
EU Commission DG CNECT · UK DSIT · US GSA (FedRAMP) · Singapore GovTech · Canada CDS · Netherlands Logius · Estonia X-Road · Australia DIIS · Japan MIC · US Social Security Administration · US Department of Veterans Affairs · US Centers for Medicare and Medicaid Services · US Department of Homeland Security · US Internal Revenue Service · France DINUM · Germany BVA · South Korea Ministry of Science and ICT · Brazil CGU
WHAT THIS REPLACES
Manual AI governance documentation per federal agency: $1M–$10M/year in contractor cost. EU AI Act non-compliance penalty: 3% global turnover or €15M. External AI bias audit: $200K–$1M per assessment per system. Incident investigation when AI decision challenged in court or legislative inquiry: $1M–$10M per incident.
ACTIVATION TRIGGER
EU AI Act Annex III enforcement August 2, 2026 — public administration is explicitly listed as high-risk. US OMB M-25-21/M-25-22 (April 3, 2025) require AI inventory, governance, and risk management for all federal AI. DoD AI Ethics Principles (Traceable + Governable) apply to all CDAO portfolio procurement.
ENTERPRISE INQUIRIES
For chief AI officer, chief data officer, senior agency official for privacy, inspector general liaison, IT procurement office, state CIO, AI procurement officer.