Usage-based pricing means one forgotten script can blow your monthly budget. TokenWisely shows you where the spend is going, who is driving it, and how to set limits before the next invoice surprises you.
Built on Olakai's analytics platform. No code changes required.
“Claude Code went usage-based and our token bill 5x’d in a quarter. I had no idea who was burning tokens, let alone any way to put limits and controls in place.”
“We set a token budget late last year and blew past it by May. Everyone wanted AI, but no individual developer realized how much they were burning. Now we can see it by developer and model.”
“Setting a hard cap per team in five minutes saved us an embarrassing board conversation. The old way was hope no one overspends.”
“One dev on a Friday-night sprint ran up more than the rest of the team combined. We saw it on day three, not when the invoice landed.”
Works with every AI coding tool your team uses
Team, provider, or project-level monthly caps. Alert at 80% so you can act while there is still runway, not when the overrun is already done.
A daily run-rate projection tells you exactly where you will land, with enough time to adjust a policy or reallocate budget before the damage is done.
Spot expensive models, idle licenses, and the developer driving the overrun. Surface outliers before they compound, down to the token and the session.
One platform
Usage-based AI pricing means every team has a different burn rate, every model has a different cost per token, and every sprint has a different risk profile. TokenWisely reads your provider data directly, down to the dollar, and gives you the controls to act before the next invoice.
Budget, Forecast, and Control work together, with Kai turning all of it into plain-language answers.
TokenWisely Budget
Most teams find out they overspent when the invoice lands. TokenWisely puts the limit in place before the sprint starts, with alerts that fire at 80%, not 100%.
TokenWisely Forecast
A daily run-rate projection tells you exactly where you will land by month end, with enough time to act. Run a simulation before committing to a new policy.
TokenWisely Control
One developer, one expensive model, one Friday-night sprint. TokenWisely surfaces the outlier before the next invoice, with enough detail to act at the source.
Kai
Kai is the AI analyst built into TokenWisely. Instead of building a dashboard query or waiting for a finance report, just ask.
Kai synthesizes spend data, usage patterns, and forecasts, and answers in plain language your finance team and board can read.
Integrations
TokenWisely connects to GitHub Copilot, Cursor, Claude Code, OpenAI, Google Gemini, Tabnine, CodeRabbit, Replit, and more. No code changes required in your applications.
Why TokenWisely
Cloud cost tools see API calls as line items. They do not understand tokens, models, prompts, or developers. They cannot tell you whether the spend produced shipped code or how to set a cap by team without touching your codebase.
TokenWisely does. Built on Olakai's enterprise AI analytics platform, it gives you the same spend intelligence that large engineering organizations use, focused entirely on your coding tools.
Connect your tools in minutes. No code changes, no lengthy procurement, no commitment. We will show you what is actually happening before you make any decisions.
20 minutes with the team. Your data. Your numbers.
Talk to the team who built this. We will walk you through what TokenWisely sees in your stack.
Start with TokenWiselyNo commitment. No demo script.