Hernan-Huwyler

The Seven Gates Every AI Agent Must Clear Before It Can Act (And Most Skip at Least Three)

A model can reason its way to a logical conclusion and still produce a wrong outcome in your production systems. Once an autonomous agent calls an API, hits a database, or moves …

Your Vendor's "We Don't Train On Your Data" Promise Is a Sentence, Not A Data Architecture

Why the real exposure in generative, predictive, and agentic AI contracts lives in fine-tuning, logs, and retrieval, not in the one line everyone quotes back to legal Every …

How ISO 24970 and prEN 18229-1 Turn Post-Deployment Chaos Into Auditable Evidence

When AI Systems Fail, Logs Tell the Story Your AI system just flagged 300 legitimate transactions as fraud. A biometric authentication tool locked out half your workforce. A …

How to Build a Policy Engine for AI Agents Without Losing Control

You cannot govern an enterprise AI system with a polite text prompt. I learned this through several close calls where agents interpreted user requests in technically correct but …

The prEN 18286 Reality Check: Ditch Generic AI Governance

AI quality management systems look complete on paper and collapse the moment a notified body, regulator, or internal auditor asks a simple question. Show me the evidence that your …

The prEN 18228 Problem: Why Your AI Risk Assessment Will Fail the First Real Test

Most AI risk assessments look solid on paper and collapse the moment a regulator, client, or auditor asks a simple question. What exactly can go wrong, how likely is it, and what …

Guide to AI Agent Risk and Control Management Across the Full Lifecycle

An AI agent can read a ticket, query a database, call an API, draft a response, and trigger a workflow before anyone notices it crossed a line. That is the promise. It is also the …

Shadow AI Risk Management for CAIOs

Implementation Guide for Shadow AI to Secure Operations Shadow AI is already inside many organizations. It shows up in browser extensions, AI features inside SaaS tools, copied …

What a Chief AI Officer Actually Owns, and What Should Stay With Risk, Legal, and IT

Chief AI Officer in Governance, Delivery, and Board-Level Execution Organizations want a Chief AI Officer before they know what the role should actually do. That creates a …

Ways to Calculate Automation Savings and Revenue in AI Projects

AI business cases usually break at the same fault line. The team says the project “will save time” or “improve revenue” but never converts that into numbers that finance, …