FinOps for AI

Stop guessing what AI costs, start managing it

AI cost management from a single checkpoint on every AI request. See and attribute all AI spend by team, agent, and customer, before the bill arrives.

FinOps for AI

Stop guessing what AI costs, start managing it

AI cost management from a single checkpoint on every AI request. See and attribute all AI spend by team, agent, and customer, before the bill arrives.

Book a demo

Start routing free

Cost savings with Smart Router, caching, and context compression

of FinOps teams actively manage AI spend

Real-time

Spend visibility and attribution

One

Gateway for all AI traffic

Trusted by teams managing AI spend at scale

The AI spend problem

Cloud spend had this problem first. AI is repeating it, faster

The AI spend problem

Cloud spend had this problem first. AI is repeating it, faster

Cloud FinOps

Engineers spun up services without oversight. CFOs bought tools to find the waste after the fact.

Cloud FinOps

Engineers spun up services without oversight. CFOs bought tools to find the waste after the fact.

AI FinOps

The same pattern, faster: more providers, more teams, and agents spending around the clock.

more tokens per task for agents

of enterprise AI budgets go to inference

of agentic AI projects forecast to be canceled by 2027

Sources: 5-30x tokens per task: Gartner, March 2026. ~85% inference share: AnalyticsWeek 2026 Inference Economics report. 40% cancellation forecast: Gartner, 2025.

How it works

One gateway, full control over every AI request

Orq.ai sits between your teams and every model they use - one entry point for cost visibility, budgeting, and optimization across your entire AI stack.

How it works

One gateway, full control over every AI request

Orq.ai sits between your teams and every model they use - one entry point for cost visibility, budgeting, and optimization across your entire AI stack.

See everything

Every request, model, and token is logged and attributed in real time by user, team, agent, and project.

See everything

Every request, model, and token is logged and attributed in real time by user, team, agent, and project.

Know your customer cost

Attribute AI spend per customer, per feature, and per task, so you can answer “how much did Customer X cost us last month?” and price on real unit economics.

Know your customer cost

Attribute AI spend per customer, per feature, and per task, so you can answer “how much did Customer X cost us last month?” and price on real unit economics.

Set the rules

Set budgets and token caps by organization, team, project, model, and agent - then enforce them automatically.

Set the rules

Set budgets and token caps by organization, team, project, model, and agent - then enforce them automatically.

Optimize automatically

Smart Router routes each request to the most cost-effective model that meets quality requirements, with 10-40% savings and no code changes.

Optimize automatically

Smart Router routes each request to the most cost-effective model that meets quality requirements, with 10-40% savings and no code changes.

Total AI spend

$43.3k

Router savings

18.6%

Requests today

385k

Budget alerts

AI spend by team

Live · last 24h

TEAM

OWNER

MODEL MIX

USAGE

COST

Engineering

Platform

GPT-4o · Claude

$18.4k

Product

AI features

GPT-4o mini

$12.9k

Support

Customer ops

Claude · Gemini

$7.8k

Marketing

Growth

OpenAI · Mistral

$4.2k

Agents

Autonomous tasks

Multi-step routes

$15.6k

What’s included

Everything you need to manage AI spend

Cost controls, routing, attribution, and analytics in the same gateway that already handles your AI traffic.

What’s included

Everything you need to manage AI spend

Cost controls, routing, attribution, and analytics in the same gateway that already handles your AI traffic.

Smart Router

Routes each request to the cheapest model that meets your quality bar, caches repeats, and compresses oversized context. 10-40% savings, zero prompt rewrites.

Smart Router

Routes each request to the cheapest model that meets your quality bar, caches repeats, and compresses oversized context. 10-40% savings, zero prompt rewrites.

Real-time cost attribution

Every token attributed to a customer, feature, team, or task as it happens, not in next month’s invoice.

Hierarchical budgets

Spend limits at organization, department, team, project, model, and agent level - enforced automatically when hit.

Hierarchical budgets

Spend limits at organization, department, team, project, model, and agent level - enforced automatically when hit.

Alerts & anomaly detection

Flag runaway loops and spend spikes the moment they deviate from baseline, not at month-end.

Alerts & anomaly detection

Flag runaway loops and spend spikes the moment they deviate from baseline, not at month-end.

Model access controls

Decide which teams can use which models. Enforced at the AI gateway.

Model access controls

Decide which teams can use which models. Enforced at the AI gateway.

Cost analytics & reporting

Unified cost overview across providers, broken down by model, team, project, and period. Exportable to BI tools.

Cost analytics & reporting

Unified cost overview across providers, broken down by model, team, project, and period. Exportable to BI tools.

Agent Lifetime Value ROI

Live · Q3 forecast

Total agent investment

$128k

Total compute cost

$31.4k

Total value generated

$486k

Payback period

7.8 weeks

Value generated vs compute cost

Value

$486k

Compute

$31.4k

Invested

$128k

Top agent returns

Support Agent

4.8x ROI

Review Agent

3.1x ROI

Content Agent

2.6x ROI

Who it’s for

For everyone responsible for AI spend

Finance, platform, product, and AI leaders finally get the same cost view.

Who it’s for

For everyone responsible for AI spend

Finance, platform, product, and AI leaders finally get the same cost view.

Who it’s for

For everyone responsible for AI spend

Finance, platform, product, and AI leaders finally get the same cost view.

CFOs & FinOps teams

Real-time spend attribution and chargeback by team and project. No more surprise bills.

CTOs & platform teams

Control which models each team can use and at what cost - without slowing down engineers.

Product teams shipping AI features

Attribute cost per customer and feature. Protect gross margin before it disappears into LLM bills.

AI transformation leads

Track spend and ROI per agent. Route investment toward what works and cap what doesn’t.

Social proof

Trusted by teams managing AI at scale

Cost, governance, and routing controls for production AI teams.

Social proof

Trusted by teams managing AI at scale

Cost, governance, and routing controls for production AI teams.

We chose Orq.ai to replace our internal setup with a production-ready AI Gateway that meets our governance, scalability, and cost-monitoring requirements.

Benjamin Kleppe,

GenAI Lead at bunq

With one gateway, teams get the visibility they need to manage AI usage before it becomes a surprise bill.

Platform leader,

Enterprise AI team

Trusted by teams managing AI spend at scale

FAQs

What teams ask us about AI cost management

Open answers for finance, platform, and product teams evaluating AI FinOps.

FAQs

What teams ask us about AI cost management

Open answers for finance, platform, and product teams evaluating AI FinOps.

What is FinOps for AI?

AI FinOps brings financial accountability to AI: knowing what every request costs, who drove it, and controlling it before the invoice lands. Where cloud FinOps managed compute hours and storage, AI FinOps manages tokens, model tiers, agent loops, and per-customer inference costs. As AI spend has grown from experimental budgets to a primary cost line, the same controls enterprises applied to cloud in 2018-2022 are now being applied to AI.

What is FinOps for AI?

Why is my AI bill rising while token prices are falling?

Per-token prices keep collapsing, with average cost per million tokens down roughly 75% in a single year, but total spend keeps climbing. The reason is consumption. Agentic workflows trigger 10-20 model calls per user request, each of which resends the full conversation history. A simple query that cost pennies in 2024 now runs as a multi-step agent loop that costs dollars. The unit that matters is no longer cost per token, it’s cost per completed task.

Why is my AI bill rising while token prices are falling?

How do AI agents change cost management?

Agents consume 5-30x more tokens per task than a standard chat interaction. Every tool call, reasoning step, and retry re-sends the full context window, so costs compound as loops grow longer. A 20-step agent loop can cost 10x what a per-step estimate suggests. This makes per-task budgets, loop controls, and model routing - sending simple steps to cheaper models and escalating only when needed - essential rather than optional.

How do AI agents change cost management?

Why can’t I just use my model provider’s billing dashboard?

Provider dashboards show total spend, not which team, project, customer, or agent drove it. Orq.ai gives one unified view across every model and provider, attributed in real time.

Why can’t I just use my model provider’s billing dashboard?

Provider dashboards show total spend, not which team, project, customer, or agent drove it. Orq.ai gives one unified view across every model and provider, attributed in real time.

What is Smart Router and how much does it save?

Smart Router analyzes each prompt and routes it to the most cost-effective model that can handle it well. Teams see 10-40% cost savings without changing prompts or code.

What is Smart Router and how much does it save?

Smart Router analyzes each prompt and routes it to the most cost-effective model that can handle it well. Teams see 10-40% cost savings without changing prompts or code.

Can I set different budgets for different teams?

Yes - at the organization, department, team, project, model, and agent level. When a limit is hit, Orq.ai enforces it automatically and alerts the relevant team.

Can I set different budgets for different teams?

Yes - at the organization, department, team, project, model, and agent level. When a limit is hit, Orq.ai enforces it automatically and alerts the relevant team.

Can I attribute AI costs to individual customers or features?

Yes. Orq.ai attributes every token to a team, project, user, agent, customer, or feature - so you can answer how much a customer cost last month and build pricing on real unit economics.

Can I attribute AI costs to individual customers or features?

Yes. Orq.ai attributes every token to a team, project, user, agent, customer, or feature - so you can answer how much a customer cost last month and build pricing on real unit economics.

What happens when a budget cap is hit?

Orq.ai can alert, reroute to a cheaper model, or block further requests depending on the policy you set.

What happens when a budget cap is hit?

Orq.ai can alert, reroute to a cheaper model, or block further requests depending on the policy you set.

How quickly can I get visibility into current AI spend?

Change your base_url to Orq.ai’s endpoint and you’re live in under two minutes - with AI traffic attributed by team, model, and project immediately.

How quickly can I get visibility into current AI spend?

Change your base_url to Orq.ai’s endpoint and you’re live in under two minutes - with AI traffic attributed by team, model, and project immediately.

How does Orq.ai help product teams protect margin?

By attributing spend per customer, feature, and task, product teams can see true AI unit economics before gross margin disappears into LLM bills.

How does Orq.ai help product teams protect margin?

By attributing spend per customer, feature, and task, product teams can see true AI unit economics before gross margin disappears into LLM bills.

Can finance export AI cost data?

Yes. Monthly chargeback and showback data is exportable to your own BI tools or finance systems.

Can finance export AI cost data?

Yes. Monthly chargeback and showback data is exportable to your own BI tools or finance systems.

Does Orq.ai work across multiple model providers?

Yes. Orq.ai gives one gateway for all AI traffic, so teams can observe, route, govern, and optimize spend across providers.

Does Orq.ai work across multiple model providers?

Yes. Orq.ai gives one gateway for all AI traffic, so teams can observe, route, govern, and optimize spend across providers.

Get visibility into your AI spend today

Book a demo to see how Orq.ai attributes, controls, and optimizes AI costs across your organization.

Get visibility into your AI spend today

Book a demo to see how Orq.ai attributes, controls, and optimizes AI costs across your organization.

Book a demo

Start routing free