
AI workers that attribute the outcome back to the token spend
Your AI spend becomes accountable labor: every AI worker gets a job, persistent context, a budget, guardrails, and outcomes you can measure. Copilots made individuals faster. Agent builders made automations easier to create. Both leave the organization unchanged: same roles, same capacity, same org chart, and leadership still sees AI as a software expense, not labor. Tenor makes AI enter the company as labor instead: every employee manages a team of AI workers built around the recurring work of their role, each with a defined job, boundaries, a budget, and a record of what it delivered. Employees provide the judgment. AI workers provide the execution. Leadership finally sees what AI spend returns.
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