TeamOhana opens Token Spend Management to all customers September 1

TeamOhana today announced that Token Spend Management, currently in beta with a group of design partners, will be generally available to all customers on September 1.

The product attributes every AI dollar to the employee it serves, then routes AI spend requests through the same approval chain companies already use to authorize headcount.

It arrives at the end of a summer in which the largest players in business spend agreed on the problem and placed it in the same layer. Ramp launched AI Token Spend Management on July 16, reporting that token spend across its customer base had grown 20.7x since June 2025. Rippling followed on August 6 with AI Spend Console, disclosing that its own forecast had put the company on a path to spend 40 percent of its R&D headcount budget on tokens.

Both products track and control AI spend. TeamOhana is building the layer above them.

"Ramp's CEO told CNBC that most CFOs never planned for this in their annual plans," said Tushar Makhija, CEO and founder of TeamOhana. "He is right, and that is a planning failure, not a tracking failure. Rippling measured their token spend against their R&D headcount budget, which tells you exactly which budget it was competing with. Finance already has a process for committing to labor cost before the money moves. It is called authorization, and until now it only pointed at people."

What Token Spend Management does

• Attributes every AI dollar to one employee. Resolved from provider APIs, seat assignments, and API key mapping, including AI hosted inside cloud accounts such as Bedrock, Vertex, and Azure Foundry that never shows up as an AI vendor on an invoice.
• Produces a fully loaded cost per employee. Compensation plus benefits plus the AI that employee consumes, in one number.
• Authorizes AI spend before it is incurred. Requests move through the same approval chain as a headcount req, with the same approvers, the same thresholds, and the same record.
• Forecasts off the approved workforce plan. Token spend is driven by headcount and by intensity per head. Because TeamOhana holds the approved hiring plan, it forecasts AI spend forward off committed reqs rather than backward off a trailing average.

Built to sit on top of the systems companies already run

TeamOhana customers commonly run Rippling, Workday, and Ramp alongside it. Token Spend Management connects to those systems rather than replacing them, pulling spend and identity data in and adding the authorization step and the workforce plan above it.

"Most of our customers already have a system of record for their employees and a system of record for their spend," Makhija said. "What almost none of them have is a system that decides. That is the gap we are filling."

Availability

Token Spend Management is generally available September 1. Finance and People leaders can see it before then at teamohana.com/token-spend-management-demo.