Token Spend Management

The ledger for AI spend.

A spend dashboard stops there. We put that spend next to comp, so you budget people and tokens together.

See my fully loaded cost
20 minutes. Your own data.
First time here? Start with why we built this →
Dashboard showing total workforce cost, effective FTE, and AI spend, with AI spend forecasted as a percent of workforce cost

The fastest-growing companies approve headcount and AI spend on TeamOhana.

Decagon logoElevenLabs logoVanta logo
Integrations

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.

Diagram showing Anthropic, OpenAI, Workday, and Rippling syncing daily into a shared spend total across the workforce
AI sources
Anthropic logo
Anthropic
OpenAI logo
OpenAI
Cursor logo
Cursor
AWS Bedrock logo
AWS Bedrock
Glean logo
Glean
SC
Seat & contract imports
Workforce systems
Workday logo
Workday
BambooHR logo
BambooHR
ADP logo
ADP
HiBob logo
HiBob
Rippling logo
Rippling
UKG logo
UKG
01  The ledger

Every source. Even the ones that hide. 

Your biggest spend sits where exports never reach: enterprise plans, agent cloud bills, contractor keys.

  • 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.
Table ranking employees by AI spend, showing fully loaded cost, token usage, and AI spend as a percent of compensation for each person
02  The anomalies
Bar chart of monthly AI spend by employee and source, comparing one employee's usage against the engineering department baseline, with a callout showing spend 67 percent above the team average

Catch what totals hide.

One person spending ten times their team's baseline is a huge problem.

  • 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.
03 The forecast

Where finance plans both workforces.

Two workforces. One budget. No dashboard can do this.

Senior ML Engineer role card showing compensation, expected token spend, and fully loaded cost compared against planned budget
One budget. Three ways to spend
HireNew engineers, with token spend attached from day one.
FundMore tokens for the engineers you already have.
DeployStandalone agents, budgeted like the workforce they are.
See my fully loaded cost
20 minutes. Your own data.
Why not a free dashboard

Spend dashboards are free now.
None of them can budget your next hire.

Free spend toolsTeamOhana
Spend by user and modelYesYes
Outliers against team baselinesAlerts on totalsYes, with an owner attached
Fully loaded employee costNo employee recordComp + AI spend, one line
Forecast at the headcount requestNoEvery planned hire, priced
The annual planning tradeoffNoHire, fund, or deploy from one budget

Visibility is table stakes. The plan is the product.

New to TeamOhana? Read the founder's note on why we build this →

“The big thing is having all token spend  in one place, so we can actually analyze what's going on.

A new engineer next year adds incremental payroll and incremental AI spend.

Budgeting for that is exactly where we're going."

Elisa Folden, Sr. Manager Business Systems
Elisa Folden uses TeamOhana at SeatGeek.
Annual planning is weeks away

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
Onboarding is limited ahead of planning season. Early access is open now.