Thinking in
Systems & Context
In-depth explorations of enterprise context management, AI-powered workflows, and the engineering patterns that make complex software actually work. Written by practitioners, not theorists.
Enterprise Change Management with AI: A Practical Guide
AI doesn't just automate change management workflows — it fundamentally changes what's possible. From predictive risk scoring to automated impact analysis, here's how to build an AI-powered change management practice.
Requirements Management Without the Spreadsheet Hell
Requirements scattered across emails, docs, and spreadsheets are the root cause of failed projects. Here's how to build a requirements management system with traceability, versioning, and AI-powered gap analysis.
Building a Change Request Database That Actually Works
Most change request systems are glorified spreadsheets. Here's how to build one with structured lifecycles, approval workflows, impact analysis, and AI-powered context — so changes stop falling through the cracks.
Context Management vs. Knowledge Management: What's the Difference?
Knowledge management and context management solve different problems with different architectures. Understanding the distinction is critical for any organization adopting AI.
How to Build an AI Context Engine for Your Organization
A step-by-step technical guide to building a context engine that connects your organizational knowledge to AI systems — from ingestion pipelines to MCP server integration.
What Is Enterprise Context Management?
Enterprise context management is the discipline of structuring, curating, and delivering organizational knowledge so that both humans and AI systems can reason about your business accurately. This is the definitive guide.