Sovereign AI for public service
Government AI serves citizens, not shareholders. Transparent, accountable, and aligned with public interest - on sovereign infrastructure when required.
Government AI has unique requirements
Most commercial AI tools weren't built for government. Government AI serves citizens, not shareholders — and requires transparency, equity, and sovereignty that commercial tools often can't provide.
Sovereignty
Data and processing on approved infrastructure. No data leaving sovereign boundaries. Full control over AI systems.
Transparency
Citizens have the right to understand decisions that affect them. Explainable AI isn't optional — it's democratic accountability.
Equity
Government AI must serve all populations fairly. Disparate impact isn't just unethical — it's often illegal.
Security
Nation-state threat models. Government AI is a target for adversaries with significant resources.
AI governance frameworks worldwide
AI governance frameworks are converging globally around common principles: human oversight, transparency, fairness, and accountability. Rotascale provides infrastructure for all of them.
NIST AI RMF (US)
The de facto US government standard. Govern, Map, Measure, Manage. Orchestrate provides governance workflows. Eval enables measurement. Guardian tracks risks in production. Steer enforces guardrails for risk management.
EU AI Act
Risk-based approach. High-risk AI (public services, law enforcement) faces strict requirements: conformity assessments, human oversight, transparency, bias testing. Extraterritorial application — affects any AI used on EU citizens.
UK, Canada, Australia
UK DSIT: principles-based, sector-specific regulation emphasizing safety and innovation. Canada AIDA: high-impact AI systems regulation. Australia: eight-principle ethics framework with increasing adoption.
Common threads
Human oversight, transparency and explainability, fairness and non-discrimination, accountability, risk-based approach. Every framework converges on these principles. Build infrastructure once, comply everywhere.
When AI decides, citizens deserve answers
Government AI makes decisions that affect citizens' lives. Benefits eligibility. Tax assessments. Immigration status. The stakes are different from commercial AI — a citizen denied benefits can't go to another government.
No competitor to switch to
Unlike commercial services, there's no market alternative. This creates a higher obligation for fairness and explainability. Every AI decision must be justifiable to the citizen it affects.
Explainability for citizens
Not technical explanations for data scientists — plain language explanations for the people impacted. Orchestrate captures reasoning chains. Generate citizen-readable explanations automatically.
Appeals & redress
Citizens must be able to challenge AI decisions. Human review pathways. Documentation sufficient for meaningful appeal. Audit trails that support due process.
Citizen-Facing AI
Citizens increasingly interact with government through AI — chatbots, benefits processing, digital identity. Getting it right builds trust; getting it wrong erodes democracy.
Government chatbots
24/7 citizen assistance for common questions. Benefits eligibility. Document requirements. Process guidance. Chatbots can't hallucinate — wrong answers have real consequences.
Products: Guardian, Steer
Benefits processing
AI-assisted eligibility determination. Faster processing, more consistent decisions. Must be fair across demographics, explainable for appeals, and maintain human oversight for complex cases.
Products: Orchestrate, Eval
Digital identity
AI in identity verification and authentication. Fraud detection. Document validation. High-stakes decisions that must work for all populations — not just majority demographics.
Products: Guardian, Eval
Internal operations
FOIA request handling, contract analysis, policy document review, workforce support. AI that helps government workers serve citizens better. ETL-C provides semantic search across government repositories.
Products: Orchestrate, AgentOps
Government fraud, waste & abuse detection
Government programs lose billions annually to fraud, waste, and abuse. AI can help — but detection must be accurate, explainable, and fair.
Intelligent Trust Cascade
Same 5-level architecture proven in insurance: rules for known patterns, ML for anomaly detection, AI for complex analysis, multi-agent debate for high-stakes cases, human review for final determination.
Equity monitoring
Avoid disparate impact across demographics. Continuous monitoring ensures fraud detection doesn't inadvertently discriminate against protected groups. Fair enforcement for all citizens.
Due process support
Explainable flags for transparency. Full documentation for appeals. Citizens have the right to understand and challenge fraud determinations.
Cross-agency data
SARP provides agent-ready data infrastructure. Semantic access across agency silos. Privacy-preserving queries across government systems.
FWA detection applications
The Trust Cascade applies across government programs — from benefits integrity to procurement oversight.
Benefits fraud
Unemployment, disability, welfare program integrity. Detect fraudulent claims while ensuring legitimate beneficiaries aren't caught in false positives.
Procurement fraud
Contract fraud, bid rigging, vendor misconduct detection. AI-powered analysis of procurement patterns with full audit trail.
Tax fraud
Tax evasion and fraud detection with explainable flags. Fair enforcement that withstands legal challenge.
Healthcare fraud
Medicaid and Medicare fraud detection at scale. Same cascade architecture proven in commercial insurance adapted for government programs.
Security, Sovereignty & Defense AI
Defense and intelligence applications have unique requirements: mission criticality, adversarial environments, classification constraints, and sovereign data processing.
Data residency by jurisdiction
US: FedRAMP High, GovCloud, CONUS data centers. UK: UK-only processing, Cyber Essentials Plus. Australia: IRAP assessed, Australian data sovereignty. EU: GDPR compliant. Germany: C5 attestation, BSI compliance.
Classification support
Unclassified/CUI on authorized cloud. Secret on isolated government networks. Top Secret in air-gapped facilities. Architecture adapts to classification requirements without functionality loss.
Defense applications
Intelligence analysis, cyber defense, logistics and sustainment. AI that improves readiness without creating single points of failure. Graceful degradation when AI is unavailable. Aligned with NATO Responsible AI Principles.
Model supply chain security
Where do your AI models come from? Model provenance tracking. Vendor security assessment. Update control. Protection against compromised model weights. Trust your AI supply chain.
NIST RMF compliance for citizen services in 20 weeks
A national government agency needed to deploy citizen-facing AI for benefits inquiries while meeting international AI governance standards. Their existing chatbot had no fairness testing, no hallucination monitoring, and no audit trail. A parliamentary inquiry was 6 months away.
AI inventory across the agency — 11 systems, 4 citizen-facing. Gap analysis against NIST AI RMF and EU AI Act requirements revealed zero compliance with governance and measurement functions. Established equity baseline across demographic groups.
Deployed Guardian for hallucination and drift monitoring. Steer for behavior boundaries and escalation triggers. Built automated fairness testing pipeline across 8 demographic dimensions. Deployed on sovereign cloud infrastructure.
Demographic fairness testing — validated <0.1% disparity across all groups. Accessibility compliance (WCAG 2.1 AA). Multilingual support for top 5 languages. Red team testing for adversarial robustness.
Phased rollout with continuous monitoring. Staff training for exception handling. Authorization achieved. Parliamentary inquiry responded to with full documentation of AI governance framework.
Related reading
Deep dives from our team on the topics that matter most.
AI governance across agencies
Large governments have dozens of agencies, each with different missions and risk profiles. Federated governance balances central oversight with agency autonomy.
AI registries
Central inventory of AI systems across government. What AI is deployed, where, for what purpose. Risk tier assignment. Owner accountability. Integrates with existing asset management or standalone.
Shared services model
Common trust infrastructure across agencies. Shared Eval capabilities. Centralized Guardian monitoring. Consistent governance with agency-specific policies. Economies of scale without one-size-fits-all.
Risk tiering
Not all AI needs the same oversight. Tier 1 (high-risk): full governance stack. Tier 2 (moderate): monitoring and periodic review. Tier 3 (low): light touch. Match controls to impact.
Maturity assessment
Where is each agency on the AI governance journey? Capability assessment. Gap analysis. Roadmap development. Help agencies progress without imposing unrealistic requirements.
Government Data Intelligence
Cross-agency data access with appropriate controls. Our Data Intelligence capabilities make government data AI-ready while respecting sovereignty requirements.
Government Data Engine
Deploy on FedRAMP High (US), UK G-Cloud, IRAP-assessed (Australia), or agency-owned sovereign data centers. Sovereign data processing with full compliance documentation.
ETL-C for Government Data
Context-first processing across agency silos. Preserve the relationships and provenance that AI needs for accurate, auditable decisions.
SARP with Semantic Access Control
Agent-ready data platform with policy-based access control. AI agents query by meaning, with governance that respects data classification and need-to-know.
Engage with us
Executive Briefing
$15K
Half-day. Landscape overview for leadership. Risk and opportunity assessment. Strategic recommendations. Roadmap discussion.
Government AI Assessment
$40K
3-4 weeks. Current AI inventory and risk assessment. Compliance and security gap analysis. Use case prioritization. Architecture recommendations.
Citizen Services Pilot
$100K
8-12 weeks. Implement trust infrastructure for one service. Demonstrate equity and transparency metrics. Build staff confidence and adoption.
Agency AI Program
$500K+
6-12 months. Comprehensive AI trust infrastructure. Multiple use case implementation. Staff enablement and training. Ongoing support.
Sovereign AI that serves every citizen fairly
Transparent, equitable, accountable. AI governance that strengthens democratic trust.