AI cost management cannot stop at token counts. For every AI agent, finance needs to know: Who owns it.
What model it used.
What it consumed.
Which cost center and G/L it maps to.
What the contract rate should be.
What the vendor invoiced.
What was disputed.
What was approved.
What was paid.
What evidence proves it. Example: AI Agent AP1051
18.4M tokens consumed
$2,418 calculated cost
$2,691 invoiced
$273 exception identified
$2,418 approved
Bill Pay executed
Evidence anchored That is the difference between estimating AI spend and actually operating it financially. We create the control loop from AI request to final payment. Pre-spend control.
Post-spend financial control.
Proof for every technology dollar. @_GateAI constellation-labs:native