Everyone says AI saves time.
Can you prove it?
Track every token, every API call, every dollar. See cost per agent, ROI per workflow, and waste per department — all in one dashboard.
See Your AI Spend — Connect in 5 MinThe Problem
You approved AI agents across your company.
Nobody can answer these questions.
How much does each AI agent cost per month?
Which agent delivers the most value?
Where are you wasting money on unnecessary API calls?
What will your AI bill look like in 6 months if you keep scaling?
What You See
One question. One dashboard.
Is my AI investment paying off?
If it is — we show you where to double down.
If it isn't — we show you exactly where to cut.
What We Track
Every cost signal. Every value signal.
Token consumption
Per agent, per task, per department
API costs
Across all providers — OpenAI, Anthropic, Google, Azure
Compute usage
For self-hosted models
Cost per interaction
Per customer conversation, per support ticket
Cost per workflow
End-to-end cost of every automated process
ROI per agent
Money saved vs. money spent, per agent
Connect in 5 minutes.
See your AI spend today.
Works with OpenAI, Anthropic, Google, Azure, and self-hosted models. No engineering required.
See Your AI SpendFrequently asked questions
What is AI FinOps?
AI FinOps is the practice of tracking, attributing, and optimising the cost of running AI models and agents. It brings token usage, API calls, model spend, and workflow ROI into a single financial view so you can make cost-informed decisions.
How granular is the cost tracking?
Down to the individual agent, workflow, customer, and API call. You can see cost per user session, cost per resolved ticket, and cost per business outcome — not just a monthly OpenAI bill.
What kind of savings do customers typically see?
Most teams identify 25–40% waste in the first month (duplicate calls, oversized models, runaway loops, unused agents). One travel platform eliminated €180K in annual waste within 90 days.
Does it work with multiple AI providers?
Yes. We normalise cost data across OpenAI, Anthropic, Google, Azure, AWS Bedrock, Mistral, and self-hosted models so you can compare like-for-like.