How one AI infrastructure team cut billing ops from 3 days to 0
A monthly invoice run that ate three engineer-days became a number nobody thinks about anymore.
A growth-stage AI infrastructure company sells inference capacity to other AI teams, billed on a hybrid of committed volume and metered overage. Before Kribana, closing the books each month meant three engineers pulling logs from four systems, reconciling them by hand, and hoping nothing shifted after the invoices went out.
The old process
Usage lived in a data warehouse, commitments lived in a spreadsheet, payments lived in Stripe, and invoices were assembled by a script that broke every time a customer's contract changed shape. Teams in this spot often call it 'invoice week' for a reason.
“We weren't scared of complex pricing. We were scared of the spreadsheet that made it work.”
What changes
Moving usage events into Kribana's ledger meant commitments, overage rates, and invoice assembly all read from the same source of truth. The spreadsheet reconciliation step simply had nothing left to reconcile—commit tracking against live usage runs continuously instead of once a month.
The number that matters most
Invoice week became invoice non-event: invoices generate automatically at period close; commitment shortfalls get flagged to the account team weeks before renewal instead of being discovered at it; and the three engineers who used to spend invoice week on spreadsheets now spend it on their actual roadmap.