Tag: Ai Governance

AI Decision Rights: Who Decides What When No Human Is Watching?
AI Decision Rights: Who Decides What When No Human Is Watching?

Decision rights models assume human decision-makers. AI agents breach that assumption silently. Here is how to extend decision rights to cover autonomous actors before the first ungoverned decision becomes a production incident.

ADR Templates: 5 Variations for Different Contexts + Governance Automation
ADR Templates: 5 Variations for Different Contexts + Governance Automation

One ADR template does not fit every architectural context. Five purpose-built variations — for standard decisions, agentic AI, cross-domain impact, fast delivery, and high-risk reversals — plus governance automation to make the system run without manual follow-up.

Your AI Agents Are Making Architecture Decisions. Nobody Assigned Them That Role.
Your AI Agents Are Making Architecture Decisions. Nobody Assigned Them That Role.

AI agents are making micro-architecture decisions in production. No ADR recorded them. No review board approved them. No architect ever saw them. Here is the structural fix.

Nobody Uses ADRs as an Agentic Decision Log. They Should.
Nobody Uses ADRs as an Agentic Decision Log. They Should.

Why Architectural Decision Records are the only structure most organizations already have that can govern AI agent accountability — and how to extend them into an Agentic Decision Log before the EU AI Act deadline.

The AI Evolution Stack: How AI Systems Mature from Simple Models to Governed Platforms
The AI Evolution Stack: How AI Systems Mature from Simple Models to Governed Platforms

A structured guide explaining how AI systems evolve from simple model usage to governed platforms, and how to scale complexity without losing architectural control.