Dark Factory Principles: What Agentic AI Can Learn from Autonomous Manufacturing
Dark factories run without humans on the floor. Agentic AI is doing the same thing to software operations — and most organizations are not ready for what that means.
Insights
Practical guidance on data governance, AI governance, software architecture, and the future of agentic AI development. Written by Joshua Garza.
Recent Posts
Scenario-Based Validation: The Testing Paradigm for Autonomous AI Agents
Unit tests cannot capture emergent behavior in agentic AI. Learn how scenario-based validation gives teams the reliability signal they actually need.
Digital Twin Environments for Safe Autonomous Agent Testing
Before an autonomous agent touches production, it should prove itself in a faithful replica. Here is how to build one and graduate agents safely.
Conway's Law Meets Always-On Agents: What the Claude Code Leak Reveals About AI System Design
The leaked Claude system prompts and internal guidelines didn't just expose a chatbot's instructions — they revealed an organizational theory baked into AI architecture. Here's what Conway's Law tells us about the future of always-on agents.
Topics We Cover
Data Governance
Maturity assessments, policy development, stewardship, data quality culture
AI Governance
EU AI Act, NIST AI RMF, AI system inventory, bias testing, compliance
Software Architecture
Technical debt, modernization, microservices, API design, cloud migration
Agentic AI
Dark factory principles, scenario-based validation, autonomous agents, Digital Twin environments
Data Quality
Data quality rules, observability, monitoring, SLAs, tools and frameworks
Leadership & Strategy
Fractional CTO, data strategy, technology leadership, team building
Stay Informed
Subscribe to The Touchstone Brief -- a monthly newsletter with practical governance and architecture insights. No spam, no fluff.
Newsletter launching soon. In the meantime, follow us on LinkedIn for regular insights.