AI Management - OBERHAHN (Page 6)

Build vs Buy: How to Track AI Spend at Scale

Every organization tracking AI spend eventually faces the build-versus-buy question. Start with a spreadsheet, graduate to internal scripts,

Tracking AI spend as it happens is valuable, and its real payoff is forward-looking: a trend you can track

Every AI bill is built on tokens. Understanding and tracking token consumption is the difference between a bill you can

Tracking spend on a simple AI feature is easy: one request, one call, one cost. Agents break that cleanly. A

AI spend that no one can account for is more than a budget problem; it is a governance and audit

Finance teams did not choose to own AI spend; it landed on them. It arrived as a fast-growing, unpredictable

AI spend per employee is one of the most useful numbers a finance leader can track, because it normalizes for

When AI spend grows large enough to allocate, organizations reach for one of two models. Chargeback, where teams are billed

Setting an AI budget is easy. Knowing where you stand against it before the month closes is the hard part,

The most dangerous line on your AI budget is the one that does not appear on it. Shadow AI, the

The single highest-leverage move in AI spend tracking takes about an hour and requires no application code: structuring your

Most AI bills mix several models into one total. That total hides the single largest optimization most teams have never