AI Strategy
You Want a Software Factory? Ready Your Repositories First.
Coding models are not software factories. Repository context, bounded authority, verification, recovery, and feedback turn generated code into trustworthy change.
Enterprise AI
Digital Twin Engineering: Test APIs Fast Without Blowing the Bill
Before an agent spends against a paid API, rehearse the workload locally. This Coffee Finder demo shows the cost, evidence, and limits leaders need to see.
AI Strategy
When AI Spending Caps Become Permission Systems: Control Runaway Tokens Without Capping Experimentation
CTOs need AI spending controls. The wrong control surface can make engineers absorb production uncertainty and suppress the experiments that create leverage.
Enterprise AI
QA Is Becoming the Control System: Test the Factory, Not Just the Code
When coding agents accelerate implementation, QA must move upstream. Put quality professionals at the center of intent, authority, evaluation, and learning.
Enterprise AI
Stop Asking for MCP: The Better Agent Standard Is Already Here
ScaleKit tested MCP against command-line interfaces across 75 benchmark runs. MCP consumed 4–32× more tokens. Agent Skills offer a better standard.
research
Salesforce, Shopify, Wells Fargo: The Complex Reality of AI Transformation Leadership
This nuanced analysis examines how three industry leaders achieved systematic AI transformation success while implementing substantial workforce reductions, revealing the complex tensions between technical excellence and workforce displacement in large-scale organizational change.
News
The 69% Security Paradox - Enterprise AI Adoption Outpaces Protection
69% of enterprises cite AI data leaks as their top concern, yet 47% have no security controls. This isn't just a gap—it's organizational cognitive dissonance at enterprise scale.