How do you reconcile AI spend across OpenAI, Anthropic and Google Vertex in one view?
Olakai connects directly to provider APIs and billing exports to bring usage and costs into one view. It pulls token-billed usage from the Anthropic and OpenAI Admin APIs, combines Cloud Monitoring metrics with BigQuery billing exports for Google Vertex AI, and reconciles these usage streams to real provider invoices rather than relying on unadjusted token estimates.
Direct integrations across model providers and billing exports
Olakai connects directly to provider endpoints to capture usage and financial data. It pulls per-developer token usage and spend from Anthropic's admin API, tracks usage and costs across OpenAI models by user, and ingests Google Vertex data by combining Cloud Monitoring usage with actual billed figures from BigQuery billing exports.
Source: Connect every AI tool in your stack.
Reconciling token usage with real provider invoices
Multiplying raw token counts by standard list pricing fails to account for volume discounts, caching, and committed-use agreements. Reconciling actual usage directly against provider invoices reflects what your organization truly pays, clearly distinguishing verified bills from interim estimates.
Source: What Is an AI System of Record?
Combining token usage with licensing subscriptions
Olakai aggregates both token-billed usage from Admin APIs and seat-based licensing subscriptions into a unified spend summary. Combining prorated seat licenses with direct token consumption gives finance the full figure required for billing reconciliation.
Source: Inside the AI Impact Dashboard: How Olakai Turns PR Data Into Proof of AI Value
Overcoming disconnected dashboards and manual spreadsheets
Each vendor dashboard shows one vendor, and the typical enterprise runs several. Answering what AI cost last month means opening three to seven consoles, each with its own lag window and attribution granularity and no common definition of a team or a user, then reconciling them by hand into a spreadsheet that is stale before the meeting starts.
Source: AI Spend Management Tools: 6 Options, and What Each One Cannot See
Also asked as
- How does Olakai pull together and reconcile AI spend across multiple model providers?
- How can finance reconcile OpenAI, Anthropic, and Google Vertex costs in a single view?
- How does Olakai combine token usage and billing data from OpenAI, Anthropic, and Google Cloud?