Who plays the safety driver at site one thousand?
AI trials hand-pick the competent human ready to take over. At deployment scale that role has no definition, no training, and no supply — and it is the real bottleneck.
Insights
From the independent evidence frontier
Perspectives, methodology notes, and standards guidance on evaluating, assuring, and credentialing AI. (Sample titles below — the library launches with the site.)
If AI removes the rungs, where do senior overseers come from?
Entry-level work is where professional judgment forms. Automating it away while demanding human oversight is a contradiction the field has not yet priced in.
Who certifies the people who appraise AI?
As vendors self-generate evidence at scale, the scarce resource becomes independent, credentialed capacity on the demand side. Here's why that's where the trustworthy-AI workforce must be built.
What a real agent evaluation looks like
Beyond the demo: designing reproducible harnesses that test tool use, guardrail adherence, and behavior under adversarial and edge-case conditions.
Mapping your AI to the canon
A practical walk through aligning an AI system to NIST AI RMF and ISO/IEC 42001 — and what evidence each control actually requires.
Assurance is a state, not a certificate
Why one-time audits go stale the moment a model updates — and how continuous, evidence-linked assurance keeps pace with change.
The LEED model for AI competence
How separating who authors a standard from who operates the credential produces more rigorous, more durable certifications.
Get new insights as they publish
A low-volume note when we publish something worth your time. (Signup wiring comes with deployment.)