About
What We Do
We provide AI governance and regulatory readiness for technology companies developing or deploying AI systems. Our service helps AI leaders, CTOs, and risk officers build responsible AI practices with clear frameworks, practical controls, and governance documentation that satisfies regulators and enterprise buyers.
We work with technology companies of all sizes that develop or deploy AI systems — the companies where AI governance is the difference between responsible innovation and regulatory exposure. See our service packages for details on pricing and deliverables.
What We Can Safely Offer
We Do
- AI system inventory and classification
- Risk categorization (NIST AI RMF, EU AI Act)
- Bias testing methodology design
- Transparency and explainability frameworks
- Human oversight mechanism design
- Data governance for AI
- Model lifecycle management
- Third-party AI risk assessment
We Do Not
- Provide legal advice or representation
- Certify AI systems
- Guarantee regulatory outcomes
- Perform bias audits as independent assessors
- Represent companies before regulators
Staffing and Skillset
Our team covers the six core competencies needed to deliver AI governance readiness effectively:
AI Governance Lead
NIST AI RMF fluency, EU AI Act expertise, and governance program design for AI organizations.
ML/AI Specialist
Model risk assessment, bias testing methodologies, and explainability methods for production AI systems.
Program Manager
Governance coordination, stakeholder management, and status reporting across workstreams.
Policy Writer
AI policies, transparency documentation, and governance procedures in clear, actionable language.
Risk Assessment Specialist
AI risk categorization, impact assessment, and mitigation strategy design for high-risk systems.
Data Governance Specialist
Training data quality, data lineage, provenance tracking, and data quality management for AI systems.
Our Approach
First Version
- Readiness Sprint with AI system inventory
- Risk categorization matrix and governance framework
- Bias testing methodology and transparency templates
- Manual + tool-agnostic by design
- Executive summary + governance remediation plan
Later Maturity
- Automated model monitoring and drift detection
- Continuous bias testing pipelines
- AI risk dashboards
- Multi-framework governance mappings
- AI procurement and vendor governance
Launch Readiness Metrics
We hold ourselves to measurable targets:
| Metric | Target |
|---|---|
| Time from kickoff to governance readiness report | 15–20 business days |
| AI system inventory completeness | 100% of production and development AI systems cataloged |
| Risk categorization coverage | Every AI system classified with risk level and rationale |
| Bias testing coverage | Methodology defined for all high-risk AI systems |
| Transparency documentation | Documentation templates available for all high-risk systems |
| Governance framework completeness | Policies, roles, and oversight structure documented |
Get in Touch
Ready to build your AI governance program? Reach out to discuss your AI systems, regulatory exposure, and goals.
Email Us