The Challenge
Why Government needs AI Platform Engineering done differently.
Government AI faces the most demanding compliance environment: FedRAMP, FISMA, NIST AI RMF, and section 508 simultaneously. Most commercial AI vendors cannot meet these requirements. Building AI for government means building from the compliance framework out.
Compliance Frameworks
fedramp
stateramp
fisma
nist
fips 140
Methodology
How We Deliver
Our AI teams come domain-qualified. They understand your regulatory landscape before they write their first line of code. Compliance is enforced automatically through ALICE at every commit. In government, this means FEDRAMP and STATERAMP compliance is enforced at every commit.
Capabilities Deployed
—Custom AI/ML system development
—Compliance-native architecture
—Multi-model orchestration
—Real-time inference infrastructure
—Model monitoring and governance
—Regulatory audit trail automation
✓Domain-qualified government engineers assigned before kickoff
✓FEDRAMP compliance mapped to architecture on day one
✓Production-ready output — not prototypes or POCs
✓Automated compliance monitoring through ALICE at every commit
✓Full IP ownership transferred at engagement close
Embedded Capabilities
Related Platforms
These aren't products we sell. They're capabilities embedded in every engagement of this type.
Claire
AI-Powered Digital Labor
When our teams deploy Claire, clients get AI agents that handle operational tasks while maintaining full compliance. It's why our engineers can focus on high-value architecture while routine operations run autonomously.
Regure
Regulatory Intelligence
Our teams deploy with live regulatory monitoring. When HIPAA, GDPR, UAE PDPL, or FCA frameworks change, Regure flags it and queues the engineering response before the client's legal team finishes reading the announcement.
ALICE
QA & Compliance Engine
This is the single most important reason our teams deliver compliance-native systems. ALICE makes it mechanically impossible to ship non-compliant code. It's not a QA phase — it's infrastructure-level enforcement at every commit.
Scope
Typical Engagement Scope
Team
25-50 engineers
Duration
16-24 weeks
Output
FedRAMP-ready AI infrastructure with full audit trail and documentation package
Every engagement includes: compliance documentation · audit trail automation · self-healing infrastructure · full IP transfer
Related
Parent Service
AI Platform Engineering
Parent Industry
Government & Public Sector
Related
Compliance Infrastructure for Government & Public Sector
Related
Enterprise Modernization for Government & Public Sector
Region
AI Platform Engineering in United States
Region
AI Platform Engineering in United Kingdom
Knowledge Base
FEDRAMP
Knowledge Base
FISMA
Why Switch
vs. Deloitte
Get Started
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