Resources

The references we actually use.

Not a content library and not a newsletter. These are the working references behind our engagements, written plainly and published because they are more useful to you than they are proprietary to us.

Free, no form, no email required.

Available now

Three things worth your time.

Framework reference

The Five Checkpoints

What we examine in every engagement, one Checkpoint at a time: the exposure signals, the maturity signals, and what “in place” actually looks like. Includes the two-axis scoring we use and why a gap score beats a single readiness number.

Read the reference →

Standards reference

How we use the NIST AI RMF

What the framework is, what ISO/IEC 42001 adds, how the four RMF functions map onto our Five Checkpoints — and the part most vendors are vague about: what “aligned with NIST” does and does not entitle anyone to claim.

Read the reference →

Worked example

Our own AI disclosure

We advise organizations on AI governance, so our own disclosure is a fair thing to inspect. This is the actual statement we publish about how we use AI — usable as a model for the one you need to write.

Read our disclosure →

Free diagnostic

The AI + Work Exposure Check

Twenty plain-language questions, about five minutes. Scores your organization on both axes across all five Checkpoints and ranks them by opportunity gap — the same calculation we run in a paid engagement.

Take the Exposure Check →

What is coming

Research findings, published rather than held back.

The AI Durability Accelerator measures cohort organizations before and after. Those findings, and the durability toolkit built from them, will be published here — including the interventions that did not work.

Not yet published

No findings exist yet. The first cohort has not run, and this section will stay empty rather than be filled with commentary. How the Accelerator works →