Measurement systems in enterprises are essential because current AI investment is massive, yet companies lack a clear way to verify if these tools are providing real productivity value.

“I'm going to use these these tools, but like do they work? And how well do they work? And what's the baseline? >> Yes. So, so I've stolen your framing of it's like, you know, if Chase spends $18 billion on software, whatever they >> like they need to know if they're getting their money's worth, they”

Measuring the productivity of AI tools in an enterprise requires combining behavioral data on tool usage with established productivity survey methodologies rather than relying on surveys alone.

“So today we do it the only way productivity research has ever existed so far, which is we take the normal productivity survey market research that people have done for 50 years. Not ideal, but it is the gold standard. It's McKenzie. It's Towers Watson. It's Accenture. and we lay on top of it proprie”