Cloud accounting software that automates bookkeeping, invoicing, and financial reporting for small and growing businesses.
AI SpendOps
Tracks and attributes AI costs across multiple LLM providers with budget controls
About AI SpendOps
AI SpendOps is a platform that provides visibility and governance for AI spending across multiple large language model providers. It tracks token-level costs and attributes usage to teams, features, or customers, enabling detailed cost breakdowns that are typically unavailable from standard invoices. The tool supports over 16 LLM providers and enforces budget controls with configurable alerts and forecasts to prevent overruns. It operates as a low-latency gateway that routes AI requests while logging every transaction for compliance and audit purposes. The platform is designed for both engineering and finance teams, offering real-time dashboards, model leaderboards, and customizable dimensions for cost allocation. It aims to transform AI spending from an unpredictable cost center into a controlled, auditable platform with quick time-to-value.
Key features
- Token-level cost attribution
- Budget tracking and forecasting
- Multi-provider support (16+ LLM providers)
- Real-time dashboards and audit trails
- Custom dimensions for cost allocation
- Model leaderboards with performance metrics
- Configurable policy enforcement
- UK/EU data residency dashboard
Use cases
- Tracking AI costs by team or feature for finance teams
- Enforcing model policies to prevent shadow AI usage
- Forecasting AI spend to avoid budget overruns
Pros
- Tracks token-level costs across 16+ LLM providers
- Attributes spend by team, feature, or customer
- Enforces budgets with configurable alerts and forecasts
- Provides real-time dashboards and audit trails
- Supports unlimited provider API keys without storing or logging them
Cons
- No free tier after initial 3-month trial
- Pricing plans are limited to monthly transaction caps
- Requires deployment of a proxy gateway
- Data retention varies by plan (6-12 months)
Frequently asked questions about AI SpendOps
What does AI SpendOps do?
AI SpendOps provides visibility and governance for AI spending across multiple large language model providers. It tracks token-level costs, attributes usage to teams or customers, and enforces budget controls with configurable alerts and forecasts.
Who is AI SpendOps designed for?
The platform is designed for both engineering and finance teams, offering real-time dashboards, model leaderboards, and customizable dimensions for cost allocation to support decision-making.
How does AI SpendOps track AI spending?
It operates as a low-latency gateway that routes AI requests while logging every transaction for compliance and audit purposes, enabling detailed cost breakdowns that are typically unavailable from standard invoices.
Does AI SpendOps support multiple LLM providers?
Yes, it supports over 16 LLM providers, including OpenAI, Anthropic, Google, Mistral, and others, with provider-correct pricing on every token.
Can AI SpendOps help prevent budget overruns?
Yes, it tracks and alerts on budgets with configurable thresholds and forecasts overrun risk before month-end to help prevent unexpected costs.
How do I get started with AI SpendOps?
Users can sign up and start tracking AI spend in minutes by deploying the AI SpendOps gateway and routing traffic through it to attribute token usage and spend.
AI SpendOps traffic & engagement
aispendops.com · third-party estimates from Similarweb
Traffic trend
Last 4 months · grows by one month every month
- Jun 2026341
- Jul 20262K+479.2%
- Aug 20264.6K+134.4%
- Sep 20262.9K−37.4%
Where visitors come from
Share of visits by channel
No measurable traffic from Social, Paid Referrals or Search.
Top countries
Share of visits · estimated visits
Visits sent by AI assistants
How people reach this site from other AI tools
1 a month
Compared with similar tools
Business & Marketing · Sep 2026
Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.