Enterprise-Grade AI Governance
Built from real-world experience implementing AI compliance at Fortune 50 scale. Each module addresses critical gaps in traditional governance approaches.
Compliance Engine
- Policy enforcement automation
- Regulatory mapping
- Compliance reporting
- Audit trail generation
Red Audit Kit
- Multi-layer system audits
- Risk scoring methodology
- Remediation roadmaps
- Compliance gap analysis
Precision Drift Detector
- Statistical drift detection
- Performance monitoring
- Alert configuration
- Historical analysis
LegacyShift
- Migration planning
- Risk assessment
- Incremental modernization
- Zero-downtime transitions
Platform Capabilities
HAIEC provides a complete suite of tools for AI compliance and governance
Cognitive Systems Management (CSM)
The foundational methodology underlying HAIEC. CSM defines four governance domains - Enterprise, Project, Code, and UX. The AI Governance Execution Framework operationalizes and extends CSM with six cross-functional governance functions.
CSM-Enterprise
- Policy Framework
- Risk Assessment
- Data Stewardship
- Strategic Mandate
CSM-Project
- Business Case Definition
- Controlled Testing
- Scale Decision Framework
- Playbook Documentation
CSM-Code
- Development Standards
- Security Protocols
- Human Oversight
- Traceability Logging
CSM-UX
- Impact Analysis
- Explainability Design
- Capability Development
- Adoption Measurement
CSM connects organizational governance, initiative execution, technical development and human interaction so governance decisions remain visible across the lifecycle of an AI-enabled system.
Learn more about the full CSM framework or explore the Architecture Decision Master Sheet.
Why HAIEC?
Evidence-First Approach
Dashboards are not evidence. HAIEC generates tamper-evident documentation with cryptographic verification that stands up to regulatory scrutiny. Every claim is backed by deterministic testing and SHA-256 cryptographic hashing - tamper-evident evidence you can verify independently.
Production-Ready
Not a research project. HAIEC is designed for enterprise environments, with tools and frameworks built from real-world AI compliance work at scale.
Framework Aligned
Built on research published in Zenodo and aligned with EU AI Act, NIST AI RMF, ISO 42001, and NYC Local Law 144. Deterministic engines with open-source foundations you can verify - llmverify on npm and PyPI, plus the HAIEC GitHub Action for CI.
How HAIEC Applies
Challenge
Solution
Implemented HAIEC compliance engine with automated policy enforcement and continuous monitoring
Result
Established continuous compliance monitoring with minimal impact on model performance
Challenge
Solution
Deployed Red Audit Kit with LegacyShift methodology for systematic modernization
Result
Systematic modernization roadmap reduced compliance preparation time significantly
Challenge
Solution
Integrated precision drift detection with automated alerting and remediation workflows
Result
Improved drift detection coverage and reduced incident response time through automated alerting
Illustrative scenarios showing how HAIEC capabilities map to common enterprise compliance challenges. These are representative use cases, not customer deployment records.
Choose Your Engagement
Platform License
Guided Implementation
Learn how HAIEC fits into the complete AI compliance stack: read How to Secure and Govern AI: NIST, ISO and SOC 2 - the seven layers of AI compliance, framework comparison, and implementation roadmap. For AI voice agent-specific compliance, security, and deployment architecture, read Why AI Voice Agents Fail in Production.