AI Governance & ISO 42001 Readiness
Your AI systems are live. Your governance for them isn't. ISO 42001 is the first international standard built for exactly this gap.
Overview
AI initiatives move fast because they're built by engineering teams optimizing for shipping, not by governance teams thinking about audit trails. That's fine until a regulator, enterprise customer, or board member asks a direct question: how is this model version-controlled, what data trained it, and who's accountable if it fails. The EU AI Act enforcement deadline arrives August 2026. Australian regulators are sharpening expectations in parallel. Organizations without a structured answer today will be building one under pressure.
What We Deliver
AI Management System (AIMS) Design
An AI Management System tailored to your data estate, mapped against the full ISO 42001 AIMS framework.
AI Risk Inventory & Impact Assessments
A concrete risk inventory covering model versioning pipelines, data ingestion loops, and classification of AI system risk.
Model Lifecycle Control Frameworks
Lifecycle controls that govern models from training through deployment and retirement — not just at launch.
Board-Ready AI Governance Reporting
An ISO 42001 alignment roadmap and reporting structure your board or regulator can review without qualification.
Who It's For
- ✓ Organizations scaling ML or integrating generative AI into production
- ✓ Teams that need to demonstrate algorithmic safety to a board or regulator
- ✓ Enterprises facing AI governance requirements in procurement reviews
- ✓ Businesses preparing for EU AI Act or emerging Australian AI regulation
Our Expertise
- 🏆 ISO 42001 Lead Practitioner Certified
- 🏆 CDMP (DAMA-DMBOK) Certified Data Management Professionals
- 🏆 15+ years of regulated industry delivery
- 🏆 Proven delivery across APRA, CPG 235, and HIPAA environments
Why Choose Etherion
Delivered in 4 weeks. Scoped for the window that exists right now — before EU AI Act enforcement begins August 2026 — so you're building your governance answer on your own timeline, not under regulatory pressure.
Get ahead of the regulation, not caught by it.
Start AI Governance Readiness