Control every dollar your company spends on AI.
One operating view for product AI and employee tools. Attribute spend to customers, features, teams, and people; catch budget spikes early; and give engineering leaders the evidence to optimize.
No credit card · open-source SDK · 5-minute install
AI spend is growing faster than the systems used to manage it.
Engineering sees model spend. Finance sees invoices. IT sees SaaS commitments. CTOs and VP R&D leaders still cannot point to the customer, feature, team, or employee that changed the budget.
Which customers are profitable on AI?
Your dashboard says “OpenAI: $4,012/mo.” That’s not an answer. You need cost per customer, joined to the revenue they pay.
Your bill jumps 40% and no one can explain why
A new feature? A chatty customer? A retry loop? A model you forgot to downgrade? Aggregate spend hides the leak.
Which team or employee pushed AI spend over budget?
Seat commitments, metered tools, and raw API usage land in different systems. Leaders need one team-level view and alerts before a burst becomes the monthly baseline.
What AI costs to make.
Start from your application’s context: feature, customer, and run. Do not start from a billing export. That’s the difference between “how much did the API cost” and “which feature is unprofitable.”
Per-customer AI margin
Every LLM call tagged with a tenantId, joined to the revenue that customer pays. See who’s profitable and who’s a subsidy in disguise.
Agent & workflow economics
Cost per run, per tool step, retry waste. Built for multi-step agents, not just per-call dashboards.
Cost-validated savings
We replay sampled events on cheaper models, score quality with a judge, and only recommend swaps where quality holds.
Prompt-cache savings
NewYour cache hit rate, the money it’s already saved, and where you’re leaving savings on the table. It is the one lever with zero quality tradeoff.
What your team spends using AI.
Beyond what AI costs to build, see employee usage from Codex, Claude Code, and internal sources you send through the API. Compare teams day by day, combine metered usage with seat commitments, and alert when an employee crosses budget.
Three operating views in the real platform UI.
Each workspace opens with fresh fictional data, current alerts, and read-only controls.
Customer AI-margin leak
Helpdesk AI finds Initech paying starter-plan revenue while driving enterprise-grade resolver cost.
Internal AI spend abuse
Employee AI Spend shows 47 people across 10 uneven teams, with Engineering and Data & AI driving most metered usage and one engineer crossing a $500 monthly budget before optimization.
Product + employee AI spend
AI Operations gives leaders one workspace for customer-facing AI economics and internal employee usage.
Detection today, control on our terms. Never a gateway.
One platform for both sides of company AI spend.
Gateways route. Evals score. Observability traces. Spend tools count seats. None of them connect what you build to what you buy.
| What you want | trAIce | AI gatewayPortkey, LiteLLM | EvalsBraintrust, LangSmith | ObservabilityDatadog, Helicone |
|---|---|---|---|---|
| AI cost per customer / tenant | No | No | Partial | |
| AI gross margin (cost vs revenue) | No | No | No | |
| Cost per agent run / tool step | Partial | No | Partial | |
| Cost-validated model swaps | No | Partial | No | |
| Prompt-cache hit rate & savings | Partial | No | Partial | |
| Employee / team AI tool spend | No | No | No | |
| Both build-side and buy-side AI cost | No | No | No |
Buy-side spend tools (Torii, Zylo) and AI-FinOps (Amnic, Finout) cover half of this. None tie it back to the product you ship. See what trAIce doesn’t do →
Three people, three jobs, one platform.
Own the full AI operating budget.
See product economics and employee usage together, with accountable teams, active budget alerts, and a clear path from anomaly to action.
Know which team, workflow, or person changed spend.
Daily team breakdowns, employee budgets, and deep-linked logs make cost reviews concrete without turning managers into billing analysts.
Optimize with evidence, not blanket limits.
Trace cost to customer, feature, agent run, employee, and team. Validate model changes and apply targeted budgets where they matter.
“Provider invoices tell you how much. We built trAIce to tell you which customer, feature, and employee, so you can act before the bill arrives.”
The trAIce team
Good questions, straight answers.
See where your AI budget really goes.
Open the live demo with no signup. See a customer margin leak, an employee budget spike, and a unified product + employee workspace.
10,000 events/month free, no credit card.