GenZAgents for government — FedRAMP-track AI audit + sovereignty options

UK: NCSC Secure AI System Development guidance + GOV-AI procurement requirements. US: OMB M-24-10 (federal use of AI) + M-24-13 (AI in procurement). NIST AI RMF (voluntary but increasingly required). Each requires audit trails of AI use, vendor risk management, and operational controls. GenZAgents is the audit-trail layer; the rest fits around it.

GOVERN function: receipts evidence AI governance policies in action. MAP: per-receipt context capture. MEASURE: anomaly detection + dispute metrics. MANAGE: incident response from receipt-based forensics. Direct mapping to all four NIST AI RMF functions; voluntary today, increasingly required tomorrow.

Government records management requires AI-assisted records to be identifiable as such. Receipts tag every AI-mediated artifact. FOIA requesters can be told "of N documents in your request, M were AI-assisted with the following receipts as audit". The disclosure burden becomes manageable; without receipts, it's a guessing game.

Enterprise tier ships self-hosted Helm chart for fully sovereign deployment — UK / EU / US / national clouds. AI provider calls flow through your chosen providers under your existing sovereignty strategy; the GenZAgents audit layer never crosses the boundary. For air-gapped environments: offline-queue mode (v0.8) batches receipts until next online sync.

A government policy team uses Claude to draft policy options. Each session is a receipt — analyst's human_id, policy area, model, draft language (digest). When the policy is finalised, the receipt chain documents the AI contribution. Parliamentary questions about AI use in policymaking get verified answers.

AI-assisted benefits decisioning. Each case has a receipt: case-worker, AI recommendation, case-worker's final decision. The audit trail satisfies both administrative-law transparency and operational-controls evidence. Judicial review of any single decision has the AI-mediated context preserved.