Where AI actually moves the needle in operations, and where it burns budget
Most AI pilots stall because they start with the model, not the process. Every week we break down what works, what fails, and how to run real experiments on a frugal budget. No vendor demos. No hype cycles. Just operators sharing notes.
What we cover
The operating questions that don't fit on a vendor slide
Where to start with AI in operations
Which workflows pay back first. How to pick the right process to automate when everything looks like a candidate and nothing has clean data.
Running experiments on a frugal budget
You don't need a platform deal to test a thesis. We walk through how to scope a 2-week pilot, measure it honestly, and kill it fast if the signal isn't there.
The infrastructure nobody talks about
AI is intuitive. Its infrastructure isn't. We cover the control plane, the eval layer, and the boring scaffolding that separates a demo from a production system.
Upcoming
Next sessions
Built for operators, not audiences
Small and off the record. Capped at 50 seats. No recordings published. Attendees speak freely about what is working and what is failing inside their operations.
Data first, opinions second. Every session opens with live data from our work inside operations. Process maps, automation rates, complexity scores. The conversation builds on evidence, not slide decks.
60 minutes, one topic. No panels. No sponsors. One subject explored in enough depth to change how you think about it. Attendees leave with a framework, not a feeling.
Notes for those who miss it. If the timing does not work, register anyway. We share session notes with everyone who signed up, within 48 hours of each session.
The conversation your board is not having yet
AI changes the cost structure of every operations company. The question is whether you set the terms or inherit someone else's.
Register for the next session