AI Readiness Β· Public sector
Public sector AI readiness β FedRAMP, AI EO, FISMA-aware, 12-minute benchmark
Where does your federal, state, or local agency stand on AI readiness? Our public-sector bank aligns with the White House AI Executive Order, FedRAMP data-handling expectations, FISMA controls, and DoD IL impact-level concepts.
What we reference
AI Executive Order (OMB M-24-10)
Inventory, impact-assessment, and high-risk use-case questions echo OMB M-24-10 expectations.
FedRAMP Moderate / High
Vendor questions reference FedRAMP authorisation boundaries for AI services.
FISMA + NIST SP 800-53
Governance items reference the control families most often cited during AI deployments.
NIST AI RMF
Every recommendation maps to Govern / Map / Measure / Manage.
Sample public sector questions
- 1. Do you maintain a public-facing AI use-case inventory compliant with OMB M-24-10?
- 2. Have you classified each AI use case against rights-impacting and safety-impacting thresholds?
- 3. Do you require FedRAMP authorisation for third-party AI services that touch agency data?
Does this cover the AI Executive Order?
Yes β governance questions reference M-24-10 inventory and impact-assessment obligations, and recommendations are tagged accordingly.
Is FedRAMP covered?
Yes β the infrastructure and governance pillars include vendor and data-residency questions that tie back to FedRAMP Moderate / High expectations.
Can state and local agencies use this?
Yes β the framework is useful for any US public-sector body. Only the FedRAMP-specific recommendations scale down for non-federal bodies.