Observe: AI ROI
See what your AI spend is getting you
Your AI bill tells you what you spent. Tokenize shows what you got for it, tying spend to the pull requests, Linear projects, designs, and other work it went into, so you can measure the return on every dollar.
See your AI spend next to the work it produces.
Tokenize connects to your AI providers for usage and spend, and to tools like GitHub, Linear, and Slack for the work that usage turns into.
- OpenAI
- Claude
- Claude Code
- Gemini
- Cursor
- OpenRouter
- Custom integrations
- Slack
- GitHub
- Linear
- Jira
- Notion
- Figma
- Snowflake
Every pull request, with the AI cost behind it.
Connect GitHub and Tokenize links each pull request to the sessions that wrote it, so “What did it cost to ship this?” finally has an answer.
- AI cost on every pull request
- The sessions, tools, and models behind each PR
- Rollups by repo, branch, and language
- Works with Claude Code and Codex
Spend by project, from design to code.
Connect your project tracker and Tokenize rolls AI cost up to every project, so your spend report reads like your roadmap instead of a token count.
- AI cost for every project
- Who contributed and which teams did the work
- Organized by the statuses you already use
- The issues, files, and designs each session touched
See what kinds of work AI is doing.
Not every session maps to a ticket. Tokenize groups sessions by what they were for, so you can see where AI is pulling its weight and where it's mostly exploration.
- Workflows like fixing production errors or building prototypes
- Each workflow's share of spend
- A weekly digest of the work, sent to Slack
- Leadership updates that mostly write themselves
- GDPR
- SOC 2 Type II
- SAML SSO
- SCIM Provisioning