If you’re reselling AI services, Datagate can handle the billing. By token, by second, or by request, through the same workflow you already use for voice and UCaaS.
Don’t bill AI usage manually. It might work for one or two clients, it stops working when the list grows.
Add bundles and overage, and it’s a spreadsheet problem every cycle.
The workaround that feels manageable today turns into days of billing work.
Get the infrastructure right early and there’s nothing to fix later.
Datagate already runs a usage billing loop for telecom. AI usage billing works in a similar way. The service type changes, but the workflow barely does.
Datagate receives a usage file from your AI platform at the end of the billing period.
Usage is rated against the right rate card for each charge type. Bundle logic and overage apply automatically.
A white-labelled invoice goes to your client under your brand.
Different AI platforms measure usage differently. Datagate handles all three charge types on the same feed, each with its own rate card.
Token ConsumptionBill clients for AI usage measured in tokens, with per-token rates and optional bundle allowances.
e.g. 1,284,300 tokens → $1,284.30
Processing TimeBill by the second for AI services that measure usage in compute time. Common for AI phone agents and voice-based AI tools.
e.g. 74,312 seconds → $864.00
API RequestsBill per request for services that charge by the individual API call. Set included allowances with overage rates for heavy users.
e.g. 18,523 requests → $912.94
Bundle logic with included usage allowances
White-labelled invoices under your brand
Different rates per charge type on the same feed
Overage billing above included thresholds
“It’s just the same bill they were always getting, just some additional line items on it.”
If the billing side isn’t solved yet, it’s worth a conversation. We’re already doing this for customers today.
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See how you can also save countless hours each month billing telecom services with Datagate.
