The Patchwork Problem
The federal government’s decision not to preempt state AI laws means businesses operating across state lines now face the most complex AI compliance landscape in the world.
38 states passed AI legislation in 2025. Each state has different requirements:
- California requires impact assessments for high-risk AI systems
- Illinois mandates consent for AI-driven hiring decisions
- Texas requires transparency disclosures for AI-generated content
- New York has automated employment decision auditing requirements
- Colorado enacted the most comprehensive AI governance act to date
For a 50-person company selling nationally, tracking these requirements manually is effectively impossible.
What This Means for Your Business
If you’re using AI in any customer-facing or employment-related capacity, state-level compliance now applies. This includes:
- AI-powered customer support — multiple states require disclosure of AI-generated responses
- Automated content creation — transparency requirements vary by state
- AI-assisted hiring — at least 12 states have specific AI hiring regulations
- Data processing workflows — state-level data privacy laws intersect with AI governance
The question isn’t whether compliance matters. It’s whether your AI platform makes compliance easy or hard.
JieGou’s Multi-Framework Compliance
We didn’t build JieGou’s governance for one regulation. We built it for a world where multiple frameworks overlap — which is exactly what just happened.
JieGou’s compliance infrastructure maps to multiple frameworks simultaneously:
| Framework | JieGou Coverage |
|---|---|
| EU AI Act | Risk classification, transparency requirements, human oversight |
| NIST AI RMF | Governance, risk mapping, measurement, management |
| ISO 42001 | AI management system, documentation, continual improvement |
| State-level AI laws | Audit logging, disclosure capabilities, impact assessment data, consent tracking |
The same governance features that satisfy EU AI Act requirements — audit trails, approval gates, risk scoring, transparency dashboards — also satisfy state-level AI laws. Because good governance is good governance, regardless of jurisdiction.
How It Works in Practice
Audit Trails That Satisfy Any Regulator
Every recipe execution, workflow run, and MCP tool call is logged with full context: who initiated it, what inputs were provided, what outputs were generated, which model was used, and the token cost. These logs are immutable and exportable.
Whether a California regulator asks for impact assessment data or an Illinois auditor requests hiring-decision AI logs, the data is already there.
Approval Gates for Regulated Workflows
Workflows that touch regulated domains (hiring, credit, housing) can include approval steps that pause execution until a human reviewer approves the output. Multi-approver policies, escalation timers, and department-specific routing ensure that the right people review the right decisions.
GovernanceScore Dashboard
A single view showing your organization’s compliance posture across all 10 governance layers. Instead of tracking 38 state laws manually, the GovernanceScore shows which governance controls are active and which gaps remain.
Focus on Your Business. JieGou Handles the Compliance.
38 state AI laws are complex. Your AI platform shouldn’t be.