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.