Description
The Department of Human Services (HHS) is seeking feedback from industry stakeholders on its draft Statement of Objectives (SOO) for an AI Power User Advanced Models and Features Pilot. The pilot aims to provide HHS power users with access to advanced AI models and features, including premium reasoning, long-context analysis, document and file workflows, coding assistance, data analysis, and more. The contractor will be required to provide an inclusive, firm-fixed-price pilot bundle that includes access to advanced models and features, onboarding, enablement, reporting, integration analysis, security and authorization pathway support, AI governance support, release-alignment planning, and closeout recommendations. The pilot will support up to 1,000 authorized portable HHS power users per resultant award, with potential options to increase the authorized portable-user quantity up to 10,000.
Some key aspects of the pilot include:
* Providing advanced AI models and features to HHS power users
* Enabling HHS to baseline power-user usage, determine enterprise-feasible operational methodology, identify which models and features require configuration or customization, and establish security logic
* Supporting 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
* Providing a FedRAMP 20x-aligned certification pathway where applicable
* Identifying which capabilities are native and ready, native with configuration, API or gateway interoperable, available only in a different security boundary, preview-only, roadmap or future, or requiring customization before enterprise use
* Providing a customization matrix showing level of customization, owner, dependencies, expected effort band, schedule implications, and whether customization is required before HHS enterprise scaling
* Providing security-enablement and authorization-pathway logic for each model and feature category, including boundary, data flow, logging, retention, identity, DLP/PII/PHI handling, FedRAMP/cloud posture, BAA/HIPAA posture if applicable, rollback, release approval, and user controls
* Providing usage baselining sufficient for HHS to understand which features power users use, how often they use them, what workflows they support, what level of administrative support they require, and what future pricing/order structure is most appropriate
* Collaborating with HHS stakeholders to support AI use-case inventory, compliance planning, issue reporting, governance operating model formulation, and future acquisition terms
* Providing a release-alignment and rapid-implementation roadmap for newly released models and features, including the steps needed to make eligible releases available to Government users with minimal lag relative to commercial release
Attached files
Contact
Renee Jones-Chuang