Spend visibility
Track usage, invoices, and subscription costs by provider, employee, team, and month.
Toqn [Token] gives finance, IT, and team leads one clear view of AI costs across employees, teams, and providers — from OpenAI and Anthropic to Mistral and internal AI tools.
Connect providers, map employees to teams, set monthly budgets, and receive clear reports before AI spending becomes invisible overhead.
Track usage, invoices, and subscription costs by provider, employee, team, and month.
Assign each AI account to a person, department, cost center, and manager.
Manage connected AI tools and see which platforms drive adoption and cost.
Create spending limits and monitor budget burn rates before month-end surprises.
Notify owners when spend spikes, a team nears its budget, or unused seats pile up.
Summarize AI spend, usage trends, savings opportunities, and ROI signals.
Using a practical workflow companies can adopt quickly without a heavy implementation project.
Add AI vendors, upload invoices, or import usage exports.
Match accounts to employees, teams, and cost centers.
Define monthly budgets by team, provider, or role.
Find overspend, unused seats, duplicate subscriptions, and trends.
Start with imports and core provider dashboards, expand toward automated API connections and procurement workflows.
Designed for teams that need clarity fast: finance, IT, procurement, and AI transformation leads.
Enough time to connect initial data, identify quick savings, and prove the operating model.
Toqn helps owners intervene early, not after the invoice arrives.
AI tools are spreading through companies faster than traditional SaaS governance can keep up. Employees subscribe directly, teams use different providers, and finance often sees the full picture only after costs have already grown. Toqn gives companies the missing administration layer: transparent usage, accountable budgets, and optimization opportunities across the AI stack.
Use Toqn to understand who uses which AI tools, what each team spends, where budgets are at risk, and how your company can optimize usage without slowing adoption.
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