The Boring Work That Matters
Why the unglamorous prep work determines whether your technology actually transforms your business or just drains your budget.
When the Building Stops
After selling a company I spent eight years building, I woke up one morning with no fires to fight. The hardest part isn't the exit — it's the identity crisis.
AI Isn't the Devil
Stop treating AI like either a threat or a miracle cure. Start treating it like what it is: a powerful tool that requires thoughtful implementation.
Don't "AI Wash" Your Strategy
Renaming your analytics dashboard to 'AI Insights Platform' isn't strategy — it's AI washing. Here's why that creates compounding strategic debt.
Say no to shiny objects
Every vendor claims their tool will transform your business. Most executives drown in solutions to problems they do not have. Learn to say no.
The Simplification Problem
An AI architect posted 'Naive RAG sucks' with no explanation. When experts stop explaining trade-offs, leaders make million-dollar decisions on opinions.
The Hidden Cost of Fuzzy Decisions
One fuzzy C-suite decision spawned 17 meetings and 43 emails in six weeks. Here's how unclear decisions create a hidden 'meeting tax' on your organization.
AI Pilot Purgatory
Why Your Test Projects Never Scale
AI Isn't Revolutionary. That's Why It Works.
Stop planning the AI revolution. Companies winning with AI focus on steady improvements to basic operations, not flashy transformation projects.
AI's (and your) copyright blind spot
When AI-Generated Code belongs to someone else
The Permission Problem
Most leaders assume AI resistance is about training or fear. The real issue is unclear permission structures around experimentation.
The leadership blind spot with AI
Bridging the Gap Between Vendor Promises and Organizational Reality
What you should be asking about AI
AI demos look impressive until customer satisfaction drops. Five questions to spot the difference between AI that works and AI that just looks good.
AI Strategy or AI Graveyard?
Most companies burn millions on AI that solves the wrong problems. The difference between AI strategy and the AI graveyard is focus.
Data First, AI Second
I watched a company burn $1.3M on AI while their data lived in 12 disconnected systems. Your AI project is doomed without a data foundation.
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