ToolSpend

ToolSpend focuses on one core question: where is AI and SaaS money actually going. It connects AI providers and SaaS tools with banking or card data to reveal true spend, map it to teams and projects, and highlight waste. Using AI-driven analytics, it tracks token usage, subscription costs, and spend anomalies across providers like OpenAI, Google AI, Azure, and Amazon Bedrock. Finance, engineering, and product teams get a shared dashboard that replaces scattered spreadsheets and guesswork, so budgets for LLMs and SaaS stay under control instead of spiraling quietly in the background.

What is ToolSpend? ToolSpend focuses on one core question: where is AI and SaaS money actually going. It connects AI providers and SaaS tools with banking or card data to reveal true spend, map it to teams and projects, and highlight waste. Using AI-driven analytics, it tracks token usage, subscription costs, and spend anomalies across providers like OpenAI, Google AI, Azure, and Amazon Bedrock. Finance, engineering, and product teams get a shared dashboard that replaces scattered spreadsheets and guesswork, so budgets for LLMs and SaaS stay under control instead of spiraling quietly in the background. Key Features: Unified AI and SaaS Spend Dashboard: Aggregates costs, usage, and subscriptions across multiple AI providers and general SaaS tools into a single view, down to model, project, or API key. Real-Time Cost Tracking and Forecasting: Updates spend continuously and projects month‑end bills based on current usage, helping teams avoid surprise invoices from high‑volume LLM workloads. Usage, Seat, and Duplicate Detection: Surfaces underutilized licenses, “ghost” seats, and overlapping tools across teams so organizations can consolidate vendors and trim bloat. Anomaly and Spike Alerts: Uses analytics to spot retry storms, broken prompts, runaway jobs, or unusual spend patterns and alerts teams early enough to intervene.