The leadership blind spot with AI
A manufacturing CEO spent $250K on AI that sat unused for six months. The thing nobody assesses before buying AI is whether the organization is ready to use it.
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. The unglamorous data work is what actually pays off.
Are your employees sabotaging your AI strategy?
31% of employees actively resist their company's AI strategy — and the top reason isn't tech concerns, it's feeling devalued. Here's how to fix it.
AI and middle management
Middle managers are caught between AI strategy and frontline execution. Here's how their roles are changing and what skills they need now.
The truth about technology strategy
The boring stuff wins: infrastructure, data governance, change management. Successful tech strategy is the iceberg below the waterline.
Legacy Systems Still Matter
That crusty ERP from 2005 handles 80% of your critical processes. Before you replace everything, here's why legacy systems deserve a strategy seat.
Why Speed Without Direction Is a Strategic Liability
Companies racing to implement AI are making more decisions, but worse ones. Speed without direction just means reaching the wrong destination faster.
The AI Speedup
I built a SmugMug replacement in five hours with AI tools. When competitors can replicate your product that fast, your value proposition needs rethinking.
The Non-Sexy Side of Tech Strategy
While everyone focuses on shiny new technologies, these foundational decisions quietly determine whether your company thrives or struggles.
When AI talks to itself
Self-Learning AI Systems Create Illusions of Progress While Quietly Undermining Their Own Foundations
Cutting through the AI noise: When to invest and when to wait
Start with business problems, not AI solutions. Here's how to separate real AI opportunities from expensive distractions — and when to wait.
Creating Real Value with AI
McKinsey's latest AI survey shows what separates experimentation from real value: workflow redesign, CEO oversight, and meaningful KPIs.
The Silent Culture Killer
Tech decisions without business input build capabilities nobody asked for. Business decisions without tech input create impossible expectations.
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