Intent-Based Chaos Testing: Critical AI Tests for Confidently Wrong Systems
Intent-Based Chaos Testing helps teams test whether AI assistants and agents preserve real user intent when prompts, context, tools, policies, and handoffs become messy.
Agentic AI Failure Rate: 8 Critical Fixes Before 2027
The Agentic AI Failure Rate warning is really about workflow design, cost control, risk governance, data quality, and avoiding broken manual process automation.
AI Process Redesign: 9 Critical Automation Fixes
AI Process Redesign helps SMEs avoid failed AI automation by fixing workflows, data, decision rights, controls, and adoption before scaling AI.
