Everyone Builds
An operating view on AI
AI-native operating models let more people build at startup speed inside incumbent organizations. An operator's manifesto on continuous improvement, inverted bottlenecks, and human judgment elevated.
I go by Jim.
AI-native operating models produce startup build velocity at incumbent scale. Builder and product roles are converging. A small team with the right stack outruns a large team on legacy process.
Sitting COO with prior CTO ownership at PE backed and public company scale.
Manifesto
An operating view on AI
AI-native operating models let more people build at startup speed inside incumbent organizations. An operator's manifesto on continuous improvement, inverted bottlenecks, and human judgment elevated.
Track record
DHL M&A integration — Airborne data center consolidation, DHL Mexico, U.S. move San Francisco to Scottsdale, five-nines data centers and automated sort in Pennsylvania and Riverside
Pearson SuccessNet product turnaround — led operating infrastructure for the K-12 platform relaunch (2007)
VEREIT private-to-public transition — $3.5B REIT to $27B public platform; FINRA broker-dealer environment, 26 Salesforce applications
Public-company CIO through restatement and SOX remediation — nine material weaknesses closed, six boards
$495M P&L on a $600M+ platform — 2M+ work orders a year, 3,500+ service providers, 150,000+ technicians
VixxoLink — brought in to deliver a program and product turnaround; more than two years late and over budget, launch in nine months
VITA — technician virtual assistant in the field, raising proficiency and daily service capacity across the network
AI-native facilities operating system in under three months; legacy scheduling rebuilt in a four-hour working session
Expanded the operating model to run and control performance across the full service-provider network
2.5 points of operating margin and $5M+ in structural savings through integration discipline and cost programs
About
I am an operator with a technology background. I moved from building software to running operations at scale, and I think in systems, cadence, margin integrity, and closed loops.
I believe AI-native operating models let more people build at startup speed inside incumbent organizations. Not less process. More process, running faster, with human judgment on the decisions that matter.
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