SpendMind gives finance and IT teams visibility, accountability, forecasting, and optimization across AI token usage, model spend, departments, users, and applications.
Most organizations are running AI across 3–8 providers with no unified view. Token costs accumulate invisibly across departments and applications, finance only learns about overruns at month end, and nobody can answer the most basic question: where is our AI money going?
From raw provider invoices to department-level accountability, SpendMind gives every stakeholder the view they need.
See every dollar of AI spend across providers, models, departments, applications, users, and projects — in one unified control plane.
Map raw provider API usage to business context. Assign departments, cost centers, and owners. Power showback and chargeback reports.
Predict month-end AI spend before it surprises your CFO. Identify trajectory risks early and act before budgets are exceeded.
Set company, department, application, and provider budgets. Get alerts at 50%, 80%, 100%, and forecasted overrun thresholds.
Identify model substitution opportunities, caching wins, prompt inefficiencies, and workloads that can be moved to cheaper models.
Generate CFO-ready spend reports, CIO utilization reports, department showbacks, and procurement vendor analysis — in seconds.
SpendMind serves CFOs, CIOs, FinOps teams, IT directors, and procurement leaders — each with purpose-built dashboards and reports.
SpendMind is a spend observability platform — not a prompt logging service. We only collect usage metadata: token counts, model names, request counts, costs, and timestamps. Your prompts, completions, and model outputs never touch our platform.
Start with Starter, scale to Enterprise. No per-seat fees. Priced on providers connected and team size.