In draft · SIGNAL

ML for Strategic Founders

Govern the models you do not build

Govern the models that touch your revenue without writing a line of code

Founders drowning in ML hype need decision literacy, not a data science degree. This book hands you the SIGNAL loop to scope, evaluate, and govern every model that touches revenue, risk, or reputation. It takes you from "I don't know what to ask my ML team" to running governance protocols that keep models honest and decisions defensible. A strategic lens, not a coding manual.

• The SIGNAL loop: Scoping, Inputs, Ground truth, Noise, Audit, Learn for every model
• A strategic lens on what ML can and cannot do, no Python or TensorFlow required
• How to read vendor demos and benchmark claims and separate signal from noise
• How to scope ML projects that actually ship, and why most never do
• How to audit models for bias, drift, and failure before they cost you customers