In 1992, Robert Kaplan and David Norton published the Balanced Scorecard because traditional financial metrics couldn't capture intangible value. Your AI ROI problem is the same problem. The scorecard already exists.
When automobiles arrived, the best horse-and-buggy mechanics tried to apply their pricing models to internal combustion engines. They all went out of business. Cloud FinOps tools are making the same mistake with AI spend.
In the 1950s, General Electric gave each division its own P&L and changed corporate accountability forever. Your AI budget is still running on the pre-GE model. One number. No owners.
In 1882, two phone companies fought a brutal war over whether to charge per-call or per-month. The one that figured out metering built an empire. Your AI billing war is the same fight.
The transcontinental railroad was built on $100M in fraud because nobody was watching the books. Your AI budget isn't that bad. Probably.
Robert McNamara had to invent cost accounting for a world war. You just need to account for your AI budget. Spoiler: same problem, different century.
A factory manager got a massive electricity bill in 1910 with zero line items. A hundred years later, your Anthropic invoice looks exactly the same.
Carnegie's bookkeeper could tell him the cost of a heat of steel before his competitors could write their invoice. Knowing your numbers that well is a weapon. What's your cost per AI token?
In 1957, a Harvard professor bet $70,000 on a startup that became $355 million. The secret wasn't the bet — it was knowing which ones to double and which to cut. Your AI initiatives need the same lens.
Sam Walton drove to competitor stores with a yellow legal pad and wrote down prices. Old-school intelligence. Your AI cost advantage starts the same way.
Peter Drucker spent 18 months inside GM in 1945 and found executives making billion-dollar decisions with almost no data. His solution changed management forever. Here’s the AI board meeting version.
Enron's CFO built financial structures so complex he couldn't fully explain them to his own board. Your AI spend problem is simpler. Let's build the reporting before the questions come.