🧭AI Strategy & Implementation
Where AI creates value — and why most initiatives fail.
- 📊#01·~9 min·4 Q
The Evidence Base — Why Most AI Initiatives Fail
The failure rate is not a technology story. Every major study lands on the same cause: organizations that don't learn.
Start → - ♟️#02·~8 min·3 Q
Competing in the Age of AI
Iansiti & Lakhani's frame, translated to your clients' scale.
Start → - 🎯#03·~10 min·4 Q
Opportunity Selection — Which Workflows, Which Shape
Two axes, one bias to correct, and a shape ladder — replacing 'AI brainstorming' with an actual method.
Start → - 🛒#04·~7 min·3 Q
Build, Buy, or Partner
Why internal builds fail at twice the rate — and when to build anyway.
Start → - 🚀#05·~9 min·4 Q
The Adoption Playbook
OpenAI × Anthropic — the frontier labs' interlocking evidence.
Start → - 🗻#06·~9 min·4 Q
Humans on the Jagged Frontier
The largest field experiment on AI and knowledge work — huge gains, a hidden cliff, and three working styles.
Start → - 🔄#07·~8 min·3 Q
The Operating Model — Making the Organization Learn
Benefits follow organizational learning, not tool deployment.
Start → - 🤖#08·~9 min·3 Q
The Agentic Enterprise
When the tool becomes a coworker — and the organization hasn't redesigned anything.
Start → - 🛡️#09·~8 min·4 Q
Governance That Enables Instead of Strangles
NIST AI RMF — four functions you can scale down to a one-page register without losing the logic.
Start → - 💰#10·~8 min·4 Q
Measuring What AI Is Worth
The ROI question destroys more AI programs than any technical failure.
Start → - 🧭#11·~7 min·4 Q
The Engagement Arc & Opportunity Radar
One page mapping every finding onto your delivery pipeline — plus the templated lead-magnet.
Start →