AI modernization for federal benefits claims

What this means for benefits programs

• OMB’s AI governance memo classifies benefits eligibility, claims adjudication, and enforcement decisions as rights-impacting uses of AI and requires specific safeguards before deployment, including notice to affected individuals, meaningful human consideration, and appeal mechanisms, alongside rigorous testing, independent evaluation, and ongoing monitoring for such systems¹.
• EO 14110 directs OMB and agencies to ensure AI is safe, secure, and rights-respecting in public administration; it anchors the federal AI policy stack that applies across Social Security, Medicaid, and Unemployment Insurance programs².
• Agencies must manage AI risk using NIST AI RMF 1.0 functions (Govern, Map, Measure, Manage) and document system risk profiles, testing plans, and mitigations proportionate to impacts on individuals and the public³.
• Identity proofing and authentication supporting online claims must comply with NIST SP 800-63-3 (IAL/AAL/FAL) regardless of whether AI-assisted tools are used, with explicit requirements for proofing, verification, and fraud resistance⁴.
• Civil rights and health equity guardrails apply: the HHS Section 1557 final rule obligates covered entities to mitigate discrimination risks associated with the use of clinical algorithms, which is material to Medicaid operations and any AI decision support in health benefit determinations⁵.
• CMS’s interoperability and prior authorization rule requires standardized APIs and faster prior authorization decisions, creating technical foundations that can be augmented by decision support and process automation if all civil rights and AI governance obligations are met⁶.
• Medicaid modernization must align to MITA 3.0 modularity and business processes; IT investments using advanced analytics or AI should be traceable to MITA objectives and federal conditions of participation and funding⁷.
• DOL’s UI modernization effort emphasizes core components, modular architectures, and program integrity; any AI use must operate within these modernization patterns and applicable federal risk and civil rights requirements⁸.
• Privacy Act protections govern SSA and federal agency PII handling; HIPAA applies to Medicaid PHI; Section 508 requires accessible digital experiences — all binding constraints for AI-enabled claims workflows⁹¹⁰¹¹.
• OMB’s digital-first memo instructs agencies to deliver accessible, plain-language, digitally optimized services and to manage analytics and automation responsibly, which frames acceptable AI-enabled customer support and intake experiences¹².

Implementation blueprint aligned to policy

1. Classify use cases and determine risk category

   • Inventory proposed AI uses and classify whether they are rights-impacting (e.g., initial eligibility determinations, benefit suspension, fraud adjudications) or safety-impacting; rights-impacting use triggers enhanced safeguards under M-24-10¹.
   • Publish agency AI use cases per OMB requirements and maintain governance artifacts (impact assessments, system cards, risk mitigations, and test results)¹².

2. Guardrails for rights-impacting claims decisions

   • Provide advance notice, meaningful human consideration, and appeal processes for any AI-assisted eligibility or adjudication decisions; document procedures and escalation paths¹.
   • Conduct pre-deployment testing, independent evaluation, and adversarial assessments commensurate with risk; establish continuous monitoring for drift and disparate impact¹³.
   • Ensure compliance with Section 1557 by evaluating clinical decision support and any algorithmic triage for potential discriminatory effects in Medicaid contexts⁵.

3. Identity, fraud, and integrity controls

   • Align identity proofing levels to NIST SP 800-63-3 (IAL/AAL/FAL) for online claims; validate any automated or AI-supported identity verification against these requirements and document fraud resistance and error handling⁴.
   • For program integrity analytics, ensure privacy protections and due process in any automated enforcement or flagging workflows; treat such uses as rights-impacting where they can affect benefits or impose obligations¹⁹.

4. Customer experience and accessibility

   • Implement digital-first service design with accessible forms, multilingual support, and transparent explanations; ensure all AI-enabled assistance (e.g., virtual agents) meets Section 508 and OMB CX requirements¹¹¹².

5. Data interoperability and modularity

   • For Medicaid, use standardized APIs and data exchange per CMS’s interoperability rule; design prior authorization and claims workflows to integrate with MITA 3.0 modular components⁶⁷.
   • Document data lineage, quality checks, and retention consistent with Privacy Act/HIPAA obligations⁹¹⁰.

Program-specific considerations

• Social Security (SSA)

  • Benefits eligibility and adjudication are rights-impacting; SSA must meet M-24-10 safeguards before deploying AI in these processes, including notice, human review, appeal, testing, and monitoring¹.
  • Online identity proofing for SSA digital services must conform to NIST SP 800-63-3 requirements for assurance levels; any AI-enhanced identity verification must be validated against these criteria⁴⁹.

• Medicaid (CMS and states)

  • Clinical and administrative decision support must be evaluated for discrimination risk under Section 1557; covered entities must mitigate algorithmic bias in health program operations⁵.
  • Prior authorization modernization via standardized APIs can be paired with AI-assisted triage or summarization if agencies maintain human-in-the-loop review and civil rights/AI governance controls⁶¹.
  • State MMIS/eligibility systems should align AI-enabled modules to MITA 3.0 processes and federal conditions of enhanced funding and oversight⁷.

• Unemployment Insurance (DOL and states)

  • Modernization roadmaps stress modular systems, program integrity, and improved claimant experiences; any AI that flags or influences benefit determinations is rights-impacting and must meet M-24-10 guardrails⁸¹.
  • Identity proofing and authentication for UI portals must align with NIST SP 800-63-3, including error handling and equitable access⁴.

Acquisition and compliance mapping

• Policy-to-control mapping

  • Use NIST AI RMF artifacts (risk registers, test plans, measurement strategies) as contract deliverables for AI components in benefits systems, satisfying OMB requirements for governance and risk management¹³.
  • Incorporate NIST SP 800-63-3 identity assurance requirements and Section 1557 nondiscrimination obligations as explicit performance and acceptance criteria in solicitations for claims portals and decision support⁴⁵.

• Microsoft platform alignment (where applicable)

  • Azure Government is authorized at FedRAMP High per the FedRAMP Marketplace, supporting hosting of benefits workloads requiring High baseline controls¹³.
  • Azure Policy includes built-in initiatives mapped to FedRAMP High (NIST SP 800-53), enabling enforcement of configuration and compliance controls; agencies should tailor policies to OMB M-24-10 governance needs¹⁴¹.
  • Microsoft’s Responsible AI Standard v2 provides process guidance for risk assessments, data governance, testing, and human oversight; it can be referenced as vendor implementation evidence but does not substitute for federal compliance obligations¹⁵¹.
  • Azure offers HIPAA-aligned capabilities and will sign Business Associate Agreements; Medicaid entities leveraging cloud services must still ensure covered entity and business associate compliance with HIPAA privacy and security rules¹⁶¹⁰.

Practical steps for mission owners

• Establish an AI governance board and register all proposed AI use cases; classify rights-impacting cases and enforce pre-deployment reviews with independent evaluation¹.
• Implement NIST AI RMF-aligned T&E: define metrics for accuracy, robustness, and fairness; conduct red-teaming for adversarial and misuse risks in claims decision support³.
• Integrate NIST SP 800-63-3-compliant identity flows; measure false accepts/false rejects and provide alternative channels to prevent undue burden on protected groups⁴.
• Embed Section 1557 reviews into Medicaid-related AI deployments; run disparity impact analyses for clinical and administrative algorithms and document mitigations⁵.
• Use CMS interoperability APIs to streamline prior authorization and data exchange; keep humans in the loop for determinations and provide clear notices and appeal paths⁶¹.
• Enforce FedRAMP High controls via cloud policy sets; log model inputs/outputs, rationale, and overrides to support auditability and Privacy Act obligations¹³¹⁴⁹.
• Publish AI use case inventories and annual reports per OMB; maintain transparency artifacts (plain-language notices, system cards, appeal instructions) for claimants¹¹².

Risks to manage

• Due process and appeal: failing to provide meaningful human consideration for AI-assisted decisions risks violating OMB requirements and eroding public trust¹.
• Algorithmic discrimination: Medicaid-related algorithms must be assessed and mitigated under Section 1557; similar equity risks exist across benefits programs and must be monitored continuously⁵.
• Identity proofing harms: overly stringent or opaque automated proofing can exclude eligible claimants; agencies must align to NIST SP 800-63-3 and provide accessible alternatives⁴¹¹.
• Compliance drift: cloud and AI configurations can drift from FedRAMP/agency baselines; enforce policy-as-code and continuous monitoring tied to OMB governance requirements¹⁴¹.

¹: OMB M-24-10 — Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence — https://www.whitehouse.gov/wp-content/uploads/2024/03/M-24-10.pdf
²: Executive Order 14110 — Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence — https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/
³: NIST AI Risk Management Framework (AI RMF 1.0) — https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf
⁴: NIST SP 800-63-3 — Digital Identity Guidelines — https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-63-3.pdf
⁵: Nondiscrimination in Health Programs and Activities (Section 1557) — 2024 Final Rule — https://www.federalregister.gov/documents/2024/05/06/2024-08803/nondiscrimination-in-health-programs-and-activities
⁶: CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F) — Fact Sheet — https://www.cms.gov/newsroom/fact-sheets/cms-interoperability-and-prior-authorization-final-rule-cms-0057-f
⁷: Medicaid Information Technology Architecture (MITA) 3.0 — https://www.medicaid.gov/medicaid/data-systems/medicaid-enterprise-systems/index.html
⁸: U.S. Department of Labor — Unemployment Insurance Modernization — https://www.dol.gov/agencies/eta/UI-modernization
⁹: Privacy Act of 1974 — 5 U.S.C. § 552a — https://uscode.house.gov/view.xhtml?req=granuleid:USC-prelim-title5-section552a
¹⁰: HIPAA — Health Insurance Portability and Accountability Act — https://www.hhs.gov/hipaa/index.html
¹¹: Section 508 of the Rehabilitation Act — Accessibility Requirements — https://www.section508.gov/manage/laws-and-policies/
¹²: OMB M-23-22 — Delivering a Digital-First Public Experience — https://www.whitehouse.gov/wp-content/uploads/2023/09/M-23-22-Delivering-a-Digital-First-Public-Experience.pdf
¹³: FedRAMP Marketplace — Microsoft Azure Government — https://marketplace.fedramp.gov/products?filter=productName:Azure%20Government
¹⁴: Azure Policy initiatives — FedRAMP High mappings — https://learn.microsoft.com/en-us/azure/governance/policy/samples/fedramp-high
¹⁵: Microsoft Responsible AI Standard v2 — https://aka.ms/RAISv2
¹⁶: Microsoft Azure HIPAA and HITECH Act information — https://learn.microsoft.com/en-us/azure/compliance/offerings/hipaa-hitech