Most AI conversations focus on technology, data, and governance. Very few define the environment those systems are deployed into.

The institutions are converging on the thesis. The archive developed the vocabulary. Here is the terminology — independently developed, publicly documented, and verifiable — that Implementation Physics brings to the AI govern...

Most organizations don’t. Not because they haven’t tried — but because friction cost doesn’t appear as a single number. It is distributed, absorbed, and invisible in aggregate, even when it is painfully visible in the parts.

That invisibility is not an accident. It is the natural consequence of a market ...

This post is the companion piece to Two Cases. Two Years Apart. Different Situations. One Methodology. The Same Result. That post showed what happens when the model is corrected before technology i...

This is implementation physics at its finest: correct the model first, then scale it.

The two graphics below document something that is rarely demonstrated in procurement and supply chain research: the same diagnostic methodology producing sustained, audited results across two entirely different sectors, two different countries, two differe...

This post was prompted by two converging signals. The first: a LinkedIn discussion on a McKinsey post in which