tokenwise
AI FinOps for engineering teams

Allocate AI budgets to projects, not people.

AI tools are billed per seat — so you can't measure project ROI, AI spend runs away unnoticed, and the engineers doing the most important work hit token limits first. Tokenwise tracks usage through your API gateway and ties every token to a project, client, or initiative.

Built for code agencies, tech-heavy SMEs & scaleups · Alpha live · No credit card required

Project view

Budget & ROI per project

Overview

May 1 – May 31, 2025

Filters

Total tokens

28.4B

+24.3%

Total cost

$18,729

+19.6%

Active users

612

+8.7%

Forecast

$22,360

May

Token usage over time

Engineer view

Project context & remaining budget

My AI usage

Your token usage, budget, and insights

Your token budget

68%

6.8B / 10B

tokens used

3.2B remaining

What this means

  • ✓ On track to finish the month
  • ✓ Alerted at 85% usage
  • ✓ Can request more budget

Usage over time

The problem

AI is billed per seat — but work happens in projects.

Per-seat AI pricing makes it impossible to know which projects, clients, or initiatives are actually driving spend — or returning value. AI costs run away unnoticed, and the developers doing the most critical work are the first to hit token limits and get blocked mid-sprint.

Billed per seat, used per project

AI subscriptions are sold per developer — so there's no way to know which project, client, or sprint is actually driving the spend.

No way to measure effectiveness

Without project-level data, you can't tell whether AI is making a project profitable, breaking even, or quietly burning the margin.

AI spend runs away unnoticed

Agents loop, prompts get heavier, and a single project can quietly eat the entire monthly AI budget before anyone notices.

Key engineers get blocked first

The developers doing the most critical work burn through per-seat token limits fastest — and lose access right when it matters most.

The solution

Project-level AI budgets, powered by your API gateway.

Tokenwise sits on top of your API gateway, tags every token by project, and surfaces budgets, ROI, and blockers — inside a standalone dashboard or embedded in the project management tools you already use.

Project-level AI budgets

Allocate token budgets to projects, clients, or initiatives — not individual seats. Reallocate in seconds when priorities shift.

Effectiveness & ROI

Tie AI spend to shipped output. See cost per project, per feature, per sprint — and which projects are getting real leverage from AI.

Runaway detection

Automatic alerts when an agent loops or a project's burn rate spikes, before it eats the monthly budget.

API gateway native

Drop Tokenwise in front of your existing OpenAI, Anthropic, and OpenRouter traffic. No SDK rewrites, no per-tool integrations.

Project-first

Budgets that follow the work, not the user.

For engineering managers

Control budget per project

  • Set AI budgets per project, client, or initiative
  • Measure effectiveness: cost per shipped feature
  • Catch runaway AI before it hits the invoice
  • Reallocate budget between projects in seconds
  • Report AI ROI to leadership and finance

For engineers

Never get blocked mid-sprint

  • Switch project context — budget follows automatically
  • See remaining tokens for the project you're on
  • Request more budget without a Slack hunt
  • Pooled project budgets, not per-seat caps
  • Keep shipping when it matters most

Product preview

Standalone dashboard, or embedded where your team already works.

Tokens flow in through your existing API gateway. Project tagging, budgets, and ROI views work as a hosted dashboard — or drop into Linear, Jira, Notion, and other PM tools via embeds.

Overview

Manage AI token spend across your engineering organization

May 1 – May 31, 2025Filters

Total tokens

28.4B

↑ 24.3%

Total cost

$18,729

↑ 19.6%

Active users

612

↑ 8.7%

Forecast spend

$22,360

Predicted for May

Budget status

72%

$52,140 / $72,000

Token usage over time

Daily

Top tools by cost

  • GitHub Copilot$8,890 · 47%
  • Claude$4,730 · 25%
  • OpenAI$3,420 · 18%
  • Cursor$1,980 · 10%
  • Other$1,709 ·

Spend by team

Platform Team8.6B$5,820$10,000
Backend Team6.4B$4,420$8,000
Web Team4.9B$3,410$7,000
Mobile Team3.2B$2,180$5,000
Data Team2.1B$1,450$3,000
AI/ML Team1.4B$1,020$2,000

Budget alerts

  • Backend Team

    75% of $8,000 budget

  • Platform Team

    58% of $10,000 budget

  • Mobile Team

    Projected to exceed in 6 days

  • AI/ML Team

    51% of $2,000 budget

Project dashboard — Track AI spend, ROI, and forecasts for every project, client, and initiative.

My AI usage

Your token usage, budget, and insights

This month

Your token budget

68%

6.8B / 10B

tokens used

3.2B

tokens remaining

12 days estimated until month end

What this means

  • ✓ You're on track to finish the month with ~2.1B tokens remaining.
  • ✓ You'll be alerted when you reach 85%.
  • ✓ Ask your manager for more budget if needed.

Your usage over time

Usage by tool

  • GitHub Copilot3.1B (46%)
  • Cursor1.7B (25%)
  • Claude 3.5 Sonnet1.3B (19%)
  • OpenAI0.5B (7%)
  • Other0.2B (3%)

Engineer view — Project-aware budget so developers know exactly what they have left on the work in front of them.

Who it's for

Built for teams shipping with AI

Code agencies

Bill AI to the client, not the developer. Know which engagements are actually profitable once AI cost is factored in.

Tech-heavy SMEs

Give every internal initiative its own AI budget — and a number for the CFO when it's time to justify next quarter's AI spend.

Scaleups & engineering managers

Stop fighting over per-seat limits. Pool tokens at the project level so the team working the launch never gets blocked.

Embedded in PM tools

Drop budget and burn-rate views straight into Linear, Jira, Notion, or your internal project dashboard — where the work already lives.

Get early access

Be first in line when Tokenwise opens for beta testers.

Drop your work email and we'll notify you the moment our product is ready for beta testers — plus early-access pricing for the first teams onboarded.

Or skip the line —

Oscar Junker, founder of Tokenwise

Behind the product

"Per-seat AI pricing forces engineering managers to fly blind. You can't tell which projects are profitable with AI, which ones are burning cash, or why your best developers are the first to get blocked. Project-level budgets fix all three."
Oscar JunkerFounder, TokenwiseConnect on LinkedIn

FAQ

Frequently asked questions

How does Tokenwise track AI usage?

Tokenwise sits in front of your existing AI providers as an API gateway (OpenAI, Anthropic, OpenRouter, and others). Every request is tagged with a project ID, so usage and cost flow into the dashboard automatically — no per-tool integration work.

Why allocate budgets per project instead of per person?

Per-seat billing tells you nothing about what AI is actually being used for. Project budgets let you measure ROI on the work itself, catch a single project burning through the month's tokens, and pool capacity so the people doing the most important work don't get blocked.

Who is Tokenwise for?

Engineering managers at code agencies, tech-heavy SMEs, and scaleups — anyone who needs to defend AI spend, prove ROI per project, and keep their developers from getting blocked mid-sprint.

Can it embed into our existing project management tool?

Yes. The MVP ships as a standalone dashboard and as embeds that drop into Linear, Jira, Notion, and other PM tools — so AI budget lives next to the project it belongs to.

What does the free AI spend review include?

A 30-minute call where we map your current AI tooling, where token spend is going, which projects are likely losing money on AI, and where engineers are most at risk of getting blocked by per-seat limits.

Stop billing AI per seat. Start budgeting per project.