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Policypublished

SSA Seeks Public Input for an AI Strategy That Includes Agents

The agency is seeking advice on the systems, staffing and safeguards needed to scale AI, while its only listed agentic use case remains in pre-deployment.

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SSA Seeks Public Input for an AI Strategy That Includes Agents
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The Social Security Administration is asking the public how it should build an enterprise AI program that includes agents—before it has deployed a single agentic use case. The agency issued the request for information on August 14, after its September 2025 AI strategy left agentic AI out entirely. Now, SSA wants practical operating models, not vendor pitches. Its questions cover five areas: finding and prioritizing opportunities, hiring and retaining skilled staff, enterprise architecture, training, and governance. That includes the less visible infrastructure agents would need: ready data, platform layers, oversight, and clear accountability. The agency is also asking about direct-hire authorities, staff rotations, fellowships, and public-private partnerships, along with ways to help employees use AI in daily work without sacrificing transparency or public trust. The strategy is meant to align with broader federal policy and incorporate lessons from other agencies and the private sector. Chief AI Officer Brian Peltier has said SSA is preparing to expand mission use of agentic AI as the technology matures. But the current inventory is notably narrow: one non-high-impact IT tool, still in pre-deployment, intended to help developers code faster, save time, and reduce costs. Responses can include case studies, implementation approaches, and rough cost estimates, and are due by five p.m. on September 28. The key constraint is clear: SSA is designing the enterprise playbook while its first agentic deployment remains only a planned developer tool.

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3 key points

The Social Security Administration is moving agentic AI from a future-use ambition into its broader enterprise planning, but deployment remains limited. Its latest inventory lists just one pre-deployment agentic tool: a non-high-impact IT system intended to help developers code faster. The Aug. 14 request for information seeks operating models across opportunity selection, talent, architecture, training, and...

  1. 01

    Responses to SSA’s request for information are due by 5 p.m. on Sept. 28.

  2. 02

    SSA’s latest inventory lists one agentic use case, still pre-deployment and focused on developer productivity.

  3. 03

    The agency wants models for data readiness, platform layers, oversight, staffing, training, and opportunity pipelines.

The Social Security Administration is seeking public input on an enterprise AI strategy that includes agentic capabilities—the latest sign that it is planning beyond conventional AI tools. The request comes after SSA’s September 2025 enterprise AI strategy, which did not mention agentic AI.

SSA issued the request for information on Aug. 14 as it develops a coordinated, agency-wide approach to AI. The agency says the strategy will align with broader federal AI policy and draw lessons from other agencies and the private sector; the RFI is one of several inputs shaping it.

In June, Chief AI Officer Brian Peltier said SSA was preparing to expand mission use of agentic AI as the capabilities mature. The new inquiry puts that goal beside the practical work of building an enterprise program, rather than treating agents as a standalone deployment.

SSA’s five focus areas are opportunity pipelines, talent, enterprise architecture, training and governance. Its architecture questions cover data readiness, platform layers, and governance and oversight layers; respondents are asked to offer approaches and models, not vendor or product recommendations.

The practical questions SSA wants answered

  • Pipeline: models, case studies and methods for finding and prioritizing AI opportunities, plus mechanisms for ongoing coordination with external partners.
  • Talent: ways to recruit, onboard and retain AI-skilled staff, including direct-hire authorities, rotations, fellowships and public-private partnership models.
  • Training and governance: ways to help staff use AI in daily work while balancing deployment speed with accountability, transparency and public trust.

SSA’s latest AI inventory lists one agentic use case, still in pre-deployment. It is a non-high-impact IT tool intended to help developers code faster, save time and reduce costs—not a listed public-facing benefits use case.

SSA welcomes recommended models, case studies, high-level implementation considerations, and rough cost or resource estimates. Responses are due by 5 p.m. on Sept. 28, leaving the agency to weigh outside proposals alongside its other strategy inputs.

Sources

  1. fedscoop.comSSA seeks direction for new enterprise AI strategy
  2. meritalk.comSSA Wants Input on Enterprise AI Strategy

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