EngLedger meters every AI request across providers, ties the spend to the work it produced and puts it next to your engineering cost: attributed, trended, defensible.
“On what, exactly?” is the whole product. Spend reads as attribution, and the part that cannot be attributed is flagged in amber and shown on its own line, never hidden.
Attribution is where it starts, not where it ends. The same readout points at the next move:
Metering works alongside your existing work-tool connections, and the attribution feeds the same ledger described on the Engineering Ledger page. The step-by-step flow is documented in the metering setup guide.
The AI Tax is AI tooling spend as a percentage of total engineering cost, trended month over month and forecast forward. A provider invoice tells you what AI cost; the AI Tax tells you what it cost relative to the engineering it supports. That is the form the board question actually takes.
It is not a standalone vanity number. The same figure is embedded in the cost report, where labour and AI tooling appear as one cost picture per person and per project, built on the same ledger that carries your capitalisation numbers.
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