Hernan-Huwyler

Practical Implementation Tips for the AI System Lifecycle RACI Matrix

Why a Lifecycle RACI Matrix Matters Most AI governance failures trace back to one root cause: nobody owned the problem at the moment it mattered. A model drifts in production and …

Practical Implementation Tips for an AI Fundamental Rights Taxonomy

Most AI Impact Assessments Ignore Fundamental Rights Here’s the Category Taxonomy to Fix That Last year, I reviewed an AI impact assessment for a financial services firm deploying …

Practical Implementation Tips for AI Project Alignment

Why Most AI Projects Fail Before They Start Most AI projects don’t fail because the model underperforms. They fail because nobody tied the model to a business outcome that matters. …

Practical Implementation Tips for a Fundamental Rights Impact Assessment for High-Risk AI Systems

What Article 27 Actually Requires The EU AI Act Article 27 requires deployers of high-risk AI systems to conduct a fundamental rights impact assessment before putting the system …

Practical AI Service Level Agreements

How to Write SLA Terms for AI Systems That Hold Up in Real Operations Most AI contracts spend too much time on commercial terms and too little time on service reality.

Practical AI Red Team Implementation Tips for Safer, More Resilient AI Systems

Playbook for Building an AI Red Team Three months after deploying a customer-facing language model, a financial services firm I advise discovered that a determined user could …

Practical AI Compliance Implementation

Tips for an AI Legal Compliance Audit Program I. AI Governance and Oversight Every AI compliance audit starts here. Without governance structure, every other audit area produces …

Practical AI Assessments

The 9-Stage AI Assessment Framework That Answers Three Questions Every Project Must Face Every AI project, regardless of industry, budget, or technology, must answer three …

My New Book: AI Management Systems The Operational Playbook That Turns AI Governance from Aspiration into Auditable Defense

AI Management Systems: Operational Playbook for Chief AI Officers and Compliance Risk Managers By Hernan Huwyler Artificial intelligence is no longer a side experiment owned by …

Model Selection and Validation for AI Projects

How to Choose the Right Model and Prove It Works Every machine learning model fails in one of two ways. It memorizes the training data so thoroughly that it can’t handle new …