The ledger for AI spend.
Your AI spend hides in vendor portals and a spreadsheet nobody trusts. TeamOhana puts every token in one ledger, attributed to the person, team, or agent who spent it. A spend dashboard stops there. We put that spend next to comp, so you budget people and tokens together.
| Owner | Source | Spend |
|---|---|---|
| A. Rivera · Eng | Claude API | $4,120 |
| Support AgentAgent | AWS Bedrock | $2,876 |
| J. Okafor · HR | Claude Enterprise | $5,040 ▲ |
| M. Chen · Eng | Cursor | $1,310 |
| HR ContractorsAgent | Claude API | $3,660 |
| Legal team · 12 seats | Seat licenses | $1,480 |
Sample data for illustration.
Two systems. One ledger.
Token data tells you what was spent. The employee record tells you what it means. TeamOhana is the only place both live together. That is what makes fully loaded cost possible.
Watch the product in action · 2 minOur methodology was adding everything to a Google Sheet as our database. That's not sustainable. This is the thing we needed: a better way to host everything and actually analyze what's going on.
Every source. Even the ones that hide.
Free tools connect the easy APIs. Your biggest spend sits where exports never reach: enterprise plans, agent cloud bills, contractor keys. TeamOhana pulls in all of it. One number finance can defend. The spreadsheet retires.
- Every dollar attributed to a person, a team, or an agent, with an owner to contact.
- No double counting. When two sources report the same dollars, the ledger keeps one clean number.
- Seats amortized daily. A license and an annual contract read as what they cost per day.
Catch what totals hide.
A team spending heavily can be a work style. One person spending ten times their team's baseline is a problem. Totals show neither. Baselines do.
- Outliers against team baselines, not raw totals, so a real anomaly surfaces in days.
- Model mix per person. See who runs the most expensive model on routine work.
- An owner on every key and agent, so a spike becomes a conversation, not a mystery.
Where finance plans both workforces.
Your next engineer does not cost what the offer letter says. The real number is comp plus tokens, and TeamOhana budgets it at the headcount request. Two workforces. One budget. No dashboard can do this.
- Fully loaded cost. Comp plus AI spend on one line per employee, with an include or exclude flag, rolled up to the org.
- Forecast at the headcount request. Every planned hire carries comp plus expected token spend, budgeted before the offer goes out.
Sample data for illustration.
Spend dashboards are free now.
None of them can budget your next hire.
| Free spend tools | TeamOhana | |
|---|---|---|
| Spend by user and model | Yes | Yes |
| Outliers against team baselines | Alerts on totals | Yes, with an owner attached |
| Fully loaded employee cost | No employee record | Comp + AI spend, one line |
| Forecast at the headcount request | No | Every planned hire, priced |
| The annual planning tradeoff | No | Hire, fund, or deploy from one budget |
Visibility is table stakes. The plan is the product.
Next year's plan is missing a line.
AI spend. Real money, growing fast, not in the budget. 20 minutes with your own data puts it there before the plan locks.
See my fully loaded cost