Our Thinking
Two channels, one lens on applied AI
AWSM LABS publishes in two voices. AWSM DSPTCH™ (“dispatch”) is the voice channel — op-ed perspectives, frameworks, and field notes. AWSM RSRCH™ (“research”) is the evidence channel — original research grounded in proprietary data from deployed AI, with published methodology and sample disclosure.
The voice channel
Perspectives, frameworks, and field notes on AI activation.
AWSM LABS’ takes on what we’re seeing in the field — op-ed style essays, the frameworks we use, and reports from inside real engagements.
Read AWSM DSPTCHAWSM RSRCHThe evidence channel
Original research on what actually works in deployed AI.
Structured findings grounded in proprietary data — telemetry, post-deployment outcomes, workflow analysis — organized around four research pillars, with published methodology.
Visit AWSM RSRCHLatest from AWSM DSPTCH
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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