Request for Information: HHS AI Power User Advanced Models and Features Pilot

Draft Statement of Objectives (SOO) - HHS AI Power User Advanced Models and Features Pilot Draft Statement of Objectives (SOO) DRAFT STATEMENT OF OBJECTIVES HHS AI Power User Advanced Models and Features Pilot Industry Feedback Draft This draft SOO is provided for public and industry feedback. It is not a request for quotations or proposals, does not obligate HHS to issue a solicitation or make an award, and may be revised based on feedback, market conditions, legal review, security review, and acquisition strategy decisions. 1. Purpose The purpose of this acquisition is to obtain short-duration, firm-fixed-price pilot awards that function as inclusive, all-you-can-eat-style access bundles, within a stated usage envelope, for up to [1,000] authorized portable HHS power users per resultant award, with potential priced options to increase the authorized portable-user quantity up to 10,000. The objective is to let power users exercise advanced models, advanced features, integration paths, native apps, reporting functions, administrative controls, and security-boundary options in a forward-leaning enterprise environment before HHS finalizes its broader enterprise AI solution. The pilot shall enable the Government to baseline actual power-user usage, determine enterprise-feasible operational methodology, identify and roadmap which models and features require configuration or customization, identify levels and timing of customization, establish security and authorization logic, and formulate a common enterprise logical and operational model for AI use at HHS. HHS requires the pilot to establish a practical operating model for commercial-parity access to advanced AI models and features in a forward-leaning enterprise environment. The contractor shall support HHS in determining how new commercial model releases, advanced features, agentic capabilities, native apps, coding and data tools, APIs, and administrative controls can be made available to Government users with minimal lag relative to commercial release, while satisfying HHS security, privacy, authorization, logging, identity, data-handling, statutory AI governance, and records requirements. The contractor shall provide a FedRAMP 20x-aligned certification pathway where applicable, including Key Security Indicator mapping, machine-readable or automation-supporting evidence, persistent-validation approach, continuous monitoring evidence, significant-change logic, and agency ATO support artifacts. Where a feature or model cannot be made available to HHS at commercial parity, the contractor shall disclose the gap, cause, authorization dependency, security-boundary issue, required customization, and target availability date to close the parity gap. HHS's desired end state is to establish a sustainable operational model that maintains or exceeds commercial parity at enterprise scale – continually operationalizing frontier AI innovation into the enterprise, advanced models, advanced features, agentic capabilities, coding capabilities, research capabilities, scientific capabilities, APIs, administrative capabilities, and other newly released commercial capabilities become available to HHS users at or before the time they become available to commercial enterprise customers, except where a documented security, privacy, legal, authorization, compliance, or technical dependency prevents such availability. -- 1 of 13 -- Draft Statement of Objectives (SOO) - HHS AI Power User Advanced Models and Features Pilot Draft Statement of Objectives (SOO) 2. Background HHS is preparing for broader enterprise acquisition of LLM and related AI capabilities, including potential multiple- award BPA and enterprise license or enterprise agreement task orders. Market research indicates that advanced LLM offerings differ materially in buying channel, security boundary, model and feature availability, release cadence, administrative controls, reporting, API and gateway compatibility, and pricing or consumption meters. The pilot is intended to generate operational evidence that cannot be obtained from paper market research alone. HHS needs to observe how power users utilize advanced AI capabilities, how those capabilities map to HHS mission workflows, what guardrails and administrative controls are necessary, what can be enabled immediately, what requires configuration or integration, and what requires additional security, privacy, records, accessibility, or authorization work before enterprise scaling. Market research supports the following major objective themes: advanced reasoning and chat, coding assistants, data analysis, secure API access, automation and agents, management reporting, OAuth/OIDC and SSO, audit retention and exportable telemetry, a FedRAMP 20x-ready commercial enterprise tenant or equivalent, usage analytics delegated at multiple organizational scopes, and transparent native usage constructs such as tokens, credits, AMUs, requests, messages, searches, tool use, capacity, or equivalent provider-defined units. 3. Scope or Mission The contractor shall provide one integrated pilot bundle for the applicable individual LLM. The bundle shall include access, configuration, onboarding, enablement, usage and adoption reporting, feature-readiness analysis, integration-readiness analysis, security and authorization pathway analysis, statutory AI governance collaboration, use-case inventory support, release-alignment planning, and closeout recommendations. • Provide inclusive access to all offered advanced models, modes, tools, integrations, and advanced features available in the proposed channel and within the ordered usage envelope for up to [X] authorized portable users. • Enable HHS to try, compare, and baseline advanced capabilities beyond baseline chat, including premium reasoning, long-context work, document and file workflows, web-grounded research where permitted, code and data analysis where permitted, connectors, memory or personalization where permitt…