Your AI coding tools don't bill by the seat anymore.

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.”
VP of Engineering · Global software company
“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.”
CFO · Fortune 500 financial services
“Setting a hard cap per team in five minutes saved us an embarrassing board conversation. The old way was hope no one overspends.”
Head of Platform Engineering · SaaS company
“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.”
Engineering Manager · Series B startup

Set the limit before finance does.

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.

Know your month-end number on day five.

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.

Find the waste. Kill it.

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

One TokenWisely.
Every coding tool.

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

Set the limit before finance sets it for you.

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%.

  • Set per-team monthly caps by project, provider, or individual developer
  • Alert at 80%, not 100% - so you still have room to act
  • Lock providers when budgets are hit - automatic enforcement, no manual process
  • Carry-over visibility month to month, so nothing resets silently
Budget management dashboard Quick budget setup

TokenWisely Forecast

Know your month-end number on day five.

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.

  • Run-rate updated daily across every tool and team in scope
  • Budget-breach date predicted so you know when you will hit the ceiling
  • Per-provider trend lines showing which tools are accelerating fastest
  • Simulate a policy change and see the projected savings before you commit
Forecast simulation dashboard Budget simulation Budget simulator hero view

TokenWisely Control

Find the expensive habits. Fix them before they compound.

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.

  • Per-developer token usage - attribution down to the session and model
  • Tool-by-tool cost breakdown showing which providers are overindexed
  • Idle seat detection to recover licenses generating no value
  • Policy enforcement by team - cap the expensive model, not the developer
Developer usage breakdown Single developer detail view
Kai AI analyst answering a question about AI coding spend

Kai

Ask anything about your AI spend. Get an answer in seconds.

Kai is the AI analyst built into TokenWisely. Instead of building a dashboard query or waiting for a finance report, just ask.

  • How much did we spend on Cursor last month, by team?
  • Which provider gave us the worst cost-per-merged-PR ratio?
  • If we cap Claude at 100K tokens per dev per week, what do we save?
  • Who are the top 5 outlier developers by token spend this quarter?

Kai synthesizes spend data, usage patterns, and forecasts, and answers in plain language your finance team and board can read.

Start with TokenWisely

Integrations

Plugs into your stack in minutes.

TokenWisely connects to GitHub Copilot, Cursor, Claude Code, OpenAI, Google Gemini, Tabnine, CodeRabbit, Replit, and more. No code changes required in your applications.

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Tabnine
CodeRabbit
Replit
Qodo

Why TokenWisely

The only spend tool built for AI coding, not cloud infrastructure.

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.

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TokenWisely overview dashboard

See your AI coding spend for the first time.

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 TokenWisely

No commitment. No demo script.