Sovereign AI Audit for Regulated Organizations
Understand your AI exposure before you deploy anything.
The Sovereign AI Audit maps your current tools, data flows, and governance gaps so you can move forward with local-first, auditable AI infrastructure.
Most organizations are already using AI.
They just don’t know where.
The Sovereign AI Audit identifies:
Where AI is being used (officially or unofficially)
What data is leaving your environment
Where hallucination risk exists
Where compliance exposure is forming
Where operational drift is occurring
This is not a marketing workshop.
It is a structural assessment.
What We Examine
1. Toolchain Exposure
Public AI tools
SaaS integrations
Shadow AI usage
API-based automation
2. Data Flow Mapping
Internal document movement
Client data handling
Role-based access controls
Logging presence (or absence)
3. Governance Layer
Approval processes
Human-in-the-loop policies
Record retention
Risk escalation procedures
4. Drift Risk
Knowledge fragmentation
Tool sprawl
Redundant workflows
Policy misalignment
What You Receive
AI Risk Matrix
Data Flow Map
Governance Gap Report
Recommended Deployment Path
Audit → Install → Stewardship roadmap
Who This Is For
Law firms handling privileged data
Government contractors under NIST/CMMC
Clinics dealing with PHI
Regulated businesses experimenting with AI
Organizations planning internal AI deployment
What This Is Not
A compliance certification
A legal opinion
A penetration test
A cloud AI sales pitch
This is a structural audit designed to reduce risk before expansion.
How It Works
Structured intake questionnaire
Internal toolchain review
Interview & workflow mapping
Risk classification
Formalized audit report
Deployment pathway defined
No installation is sold without audit.
Call To Action
Start with clarity before you scale.