Whitepapers
Three papers. No email gate.
The long-form notes on how AI infrastructure is priced, who should build it, and what happens inside the sprint. They are written to be quoted and read on the page. Nothing to download, nothing to sign up for.
01The papers
The three questions every first call asks.
- 01 · 6 minHow AI infrastructure is priced: one set price, in writing, after mappingWe do not publish fees. After mapping your operation you get one set price for the whole build, in writing, and it changes only if the scope changes, in writing. Ongoing operation is a separate monthly line, disclosed with the build price.Read the paper
- 02 · 6 minImplementation partner versus in-house versus a big firm versus toolsHire in-house when AI is your product. Bring in a big firm when you need a program and a brand on the deck. Buy a tool when one tool solves the whole problem, seams included. Work with an implementation partner when you need a system running inside the tools you already use, fast, with one accountable person and one set price.Read the paper
- 03 · 7 minWhat actually happens inside the sprintWeek one maps the operation and sets the scope and the price in writing. Week two puts the first working build in your hands, ready to test, running in review mode with your team approving every result. From week three the build changes every week and proven actions earn narrow authority. Launch lands between day 30 and day 90 depending on scope, and after launch Echelon runs it and reports weekly.Read the paper
Your first department
Bring the process you still run by hand.
One mapping call. You leave with the system design, the price in writing, and the date it goes live. The first build lands in two weeks.
Insights
Notes from the operator's seat.
Every article, grouped by how to decide, how a process goes live, what it returns, and how it is built.
See every article