Perspectives on AI activation
AWSM DSPTCH™ (“dispatch”) is where we think out loud about closing the gap between AI ambition and execution. Every piece is grounded in the same approach we bring to client work — ROI first, design-led, and relentlessly iterative — so what you read here is strategy you can act on, not hype. Field notes, frameworks, and hard-won lessons from deploying AI that actually earns its keep.
Featured
Sourcing Feels Faster. Is It Actually Working?
Your team says AI is helping. Sourcing feels faster. The analysts are more efficient. But when your LP asks what it's actually producing, you don't have a number you trust. That gap — between AI activity and AI value — is where most PE firms are stuck right now. Operational ROI is the first place to close it: not by chasing more AI activity, but by mapping the workflow, setting a real baseline, and proving that time saved actually became value created.
Pablo Cruz Pou · August 17, 2026 · 17 min read
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
Get the dispatch.
Perspectives on AI activation — ROI, frameworks, and lessons from the frontier — sent when we publish. No noise.