AWSM DSPTCH
Perspectives on AI activation
Thinking, research and lessons learned from the frontier of applied AI — from the gap between ambition and execution to the frameworks that close it.
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The Accountability Gap: What Private Equity Gets Wrong About Measuring AI
A four-lens framework for capturing the full spectrum of AI value — and risk — across every dimension that matters to PE sponsors, operators, and boards.
Pablo Cruz Pou & Fritz Desir · May 30, 2026 · 17 min read
The Agentic Enterprise: A Field Report
What we learned putting AI agents into real operations — where they earned their keep, and where they quietly fell over.
Fritz Desir · May 28, 2026 · 3 min read
Buy, Build, or Activate: A Framework for Enterprise AI
Most AI decisions get framed as buy-vs-build. That's the wrong axis — and it's why so much AI spend underperforms.
Fritz Desir · May 26, 2026 · 3 min read
Why 80% of AI Projects Fail — And How to Be in the 20%
The gap between AI ambition and AI execution is where most organizations lose. Here's how to close it.
Fritz Desir · May 20, 2026 · 3 min read
Measuring AI ROI Beyond the Hype Cycle
Real frameworks for quantifying AI value — from pilot to production at scale.
Fritz Desir · May 8, 2026 · 3 min read
From Concept to Production in 6 Weeks: The CRFT Methodology
How AI-accelerated engineering is compressing timelines without compromising quality.
Fritz Desir · April 24, 2026 · 3 min readAWSM DSPTCH
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Perspectives on AI activation — ROI, frameworks, and lessons from the frontier — sent when we publish. No noise.