Resources
Board reports, role specifications, and working papers built for regulated AI programs. Download and use them directly — no email required.
AI Legal & Regulatory Scorecard
The AI Legal & Regulatory Scorecard is a two-page reference that shows your CCO, GC or audit committee which AI laws reach a U.S. financial services, insurance or healthcare company, which ones regulators and courts have already enforced, and which deadlines arrive next. Edition 1 is current as of October 12, 2026.
The Dumbbell Test: An AI Verification Case Study
The Dumbbell Test is an annotated case study of one ordinary AI chat, a question about the weight increments on an adjustable dumbbell set, reproduced in full and unedited. Chris Cook's side-by-side commentary marks where each error entered: the question asked, the answer given, or the control that was missing. It opens with six lessons, each tied to a control a regulated organization would recognize, including why a model's own confidence score is not assurance.
Head of AI — Role Specification
The Head of AI role specification defines a single seat that owns AI value delivery and AI risk as one undivided outcome, rather than splitting them across a committee. It sets the organizational fit test for when the role is warranted, five specific authorities the seat holds (decision intake, risk classification, unilateral stop authority, evidence custody, and reporting-line independence), and the accountabilities that follow from them. Built with HR input for boards and executive teams defining the role for the first time.
Board AI Report
The Blackbox Zero Board AI Report is the one-page quarterly AI report to your audit or risk committee, with a second page of preparer's notes carrying the evidence standard behind every figure: status criteria that are scored rather than evaluated in the moment, an incident reporting threshold your committee approves once, and a defensible source for every number a director might question.
AI Risk Action Checklist
The AI Risk Action Checklist is a 23-point self-assessment across three areas: whether the right governance structures exist, whether AI risk is being managed in practice rather than on paper, and whether you could demonstrate compliance tomorrow if asked. Includes a section for logging your top three priority actions and owners.