Agents are labor, not software. The governance layer for theworkforce of humans and agents is being built right now. It's called Workforce Intelligence.
The largest reallocation of operating expense in a generation is happening in the wrongcolumn of the budget. Agents are labor. The spend is labor spend. The decision todeploy one is a workforce decision. Treating it as software is a category error, and thecost of the error compounds quarterly.
Digital labor needs the same governance infrastructure as human labor. TeamOhana governs human labor at the enterprise today.
Three independent vantage points have converged on the same framing in the last sixty days.
Joe Tsai, Chairperson of Alibaba Group, sized the agent market at $50T against the global white-collar wage bill, not the software budget. Salesforce launched Flex Credits to convert human seats into agent capacity. Alibaba spun out the Token Hub as a standalone business group, restructuring the commercial model around tokens and actions rather than compute.
Supply side, demand side, and the incumbent governance layer all say the same thing.
The governance layer for labor capital across humans, agents, and the configurations between them.
It sits before the system of record, not after. The CFO and the CHRO see the decision at the same time, because the decision belongs to both of them at the same moment.
The HRIS is the read path. TeamOhana is the write path.
This is not a hypothetical. You know your workforce composition is changing. You also know you cannot answer the question your board is going to ask in two quarters: who is doing the work, and how is the composition trending against the plan.
You have headcount you cannot get approved becausefinance is holding the line. You have a Cursor seat for everyengineer that nobody approved as a workforce decision.
Your legal team is running on Harvey and the cost hit your IT budget without anyone asking whether it replaced a hire.
Somewhere in your support org, the head of CX is buildingagents into the workflow and the org chart does not reflect it.
The question is a workforce question. Nothing in yourstack was built to answer it.
Records the human transaction after the decision is made. The agent is not in it.
Sees a software invoice. Has no concept of headcount equivalence.
The cost is hitting the wrong column. The workforce decision is invisible to the model.
The workforce plan was built before the agents existed. It cannot reconcile to reality.
Four systems. None of them built to answer
We are building the category in public. Four pieces, four audiences, one thesis.
A thesis on the largest enterprise category-formation event since cloud. Why the TAM gets sized against the wage bill, not the software install base.
A practical classification framework. Three categories of AI spend, the chart of accounts that distinguishes them, and the Digital Labor Mix metric your board is going to ask for.
Pick two of the four jobs you are being asked to do. Own the platform. Govern the perimeter. Run AI FinOps. Hand the workforce decision to the CHRO and the budget envelope to the CFO.
A flag in the ground. The framing argument, the supply-side and buyer-side proof, and what to do about it this quarter.
Digital Labor Mix is the metric. Agentic spend divided by totalworkforce spend, across humans, contractors, and agents.
One number for the board deck. A company at 5% in 2026 and25% in 2028 has done something structurally important. Acompany that cannot calculate the metric has lost visibilityinto its own cost structure.
Your Digital Labor Mix
Benchmark band
Early adopter
In the top quartile of companies at your stage. The board is going to want to see this trending.
Get the full benchmark report and stage comparison. We will email it.
enterprise customers
ARR
churn above $50K ACV
These companies came to TeamOhana for the human side. They are now in active conversationswith us about the digital side, because the same governance gap is showing up inside their walls. We are working through it together with them, in real customer rooms, on real decisions.
Agent Labor Governance
We're building the governance layer for agent labor — registry, FinOps gate, Companion Model, Digital Labor Mix reporting. Get early access, design-partner invites, and the next iteration of this playbook.
We'll reach out when a slot opens for your org.
For Analysts & Press
We are talking to the press and the analyst community about Workforce Intelligence right now.