RDIV / ANSWERS / SOVEREIGN INTELLIGENCE / AI-006
RDIV / ANSWER AI-006 · SOVEREIGN INTELLIGENCE
How Should Governments Procure AI Systems?
A source-led framework for evaluating AI procurement through data rights, auditability, continuity, portability, human authority, and credible exit options.
DIRECT ANSWER
Government AI procurement should evaluate more than price and model performance. For systems affecting consequential public functions, procurement should also address data rights, security, audit access, documentation, human authority, model and vendor changes, continuity, interoperability, portability, incident response, contestability, and credible exit options. Binding legal requirements vary by jurisdiction and agency and must be distinguished from broader governance recommendations.
DEFINITION / SCOPE
Fix the object first.
AI procurement converts governance principles into enforceable technical and contractual conditions. The exact legal requirements depend on the agency and jurisdiction; this page therefore separates current U.S. federal guidance from the broader RDIV governance checklist.
WHY IT MATTERS
The visible label is not the whole system.
Procurement is upstream governance. Once a system becomes embedded in data flows and workflows, renegotiating audit access, portability, model-change notice, or exit rights can be expensive or impossible.
HOW IT WORKS
Trace the burden.
Define the public function and consequence class before selecting a vendor.
Specify measurable performance, security, data, audit, logging, and human-authority requirements.
Require interoperability and portability appropriate to the mission.
Define model-change notice, incident response, continuity, and exit procedures.
Test competition and replacement pathways before the dependency becomes critical.
CRITICAL DISTINCTION
A LOW PURCHASE PRICE CAN CREATE A HIGH EXIT COST.
INFORMATION GAIN / AI Procurement Command Checklist
DATA RIGHTS→AUDIT→LOGS→HUMAN AUTHORITY→PORTABILITY→CONTINUITY→EXIT
INFORMATION GAIN / Contract Exit Matrix
NOTICE→EXPORT→MIGRATION→TRANSITION→DELETION→RECOVERY
WHAT THE RECORD ESTABLISHES
- OMB M-25-22 is current federal guidance on AI acquisition and explicitly emphasizes competition, data portability, interoperability, and avoiding costly single-vendor dependencies.
- OMB M-25-21 governs broader federal AI use and governance.
- NIST and GAO provide complementary risk-management and accountability frameworks.
WHAT REMAINS OPEN
- Agency-specific statutes, appropriations, acquisition rules, security requirements, and mission constraints can add obligations not summarized here.
- Current federal guidance can change and must be reverified before relying on this page as a policy reference.
RDIV FRAMEWORK
Where the work adds something.
RDIV’s procurement lens adds a command checklist: before contract award, determine whether the agency can inspect, audit, contest, suspend, replace, continue, and exit. These are governance recommendations unless a cited authority makes them binding.
SOURCE LEDGER
Follow the record.
omb-m25-21
government-primary
M-25-21: Accelerating Federal Use of AI through Innovation, Governance, and Public TrustOffice of Management and Budget · 2025-04-03Current federal executive-branch guidance at verification date; should be rechecked before material policy updates.omb-m25-22
government-primary
M-25-22: Driving Efficient Acquisition of Artificial Intelligence in GovernmentOffice of Management and Budget · 2025-04-03Current federal acquisition guidance at verification date; explicitly addresses competition, portability, interoperability, and vendor dependency.nist-ai-rmf
government-primary
AI Risk Management FrameworkNational Institute of Standards and Technology · 2023-01-26Voluntary risk-management framework; version 1.0 is being revised.gao-ai-accountability
government-primary
Artificial Intelligence: An Accountability Framework for Federal Agencies and Other EntitiesU.S. Government Accountability Office · 2021-06-30Accountability framework, not a complete sovereignty or procurement standard.ai-action-plan
government-primary
America's AI Action PlanThe White House · 2025-07-23Policy plan; recommendations and implementation status should not be conflated.rdiv-doctrine
rdiv-primary
The Sovereign Intelligence DoctrineRobertDuranIV.com · 2026-06-27Independent RDIV doctrine; no peer-review claim.rdiv-index
rdiv-primary
The Sovereign Intelligence IndexRobertDuranIV.com · 2026-07-11Original RDIV measurement framework; no claim of external endorsement.RECORD
ANSWER IDAI-006
AUTHORRobert Duran IV
FIRST PUBLISHED2026-09-24
LAST VERIFIED2026-09-24
TOPICSOVEREIGN INTELLIGENCE
RELEASE WAVEC
CANONICAL/answers/ai/government-ai-procurement
FRESHNESSfast