AI Cost Control Plane

Control AI spend.
Protect every margin.

AIProfitHub shows which users, teams, features, customers, and models drive your AI costs — then turns the biggest leaks into practical savings actions.

48-hour audit report
Start with audit before platform rollout
Works with your current AI stack

AI Cost Control Overview

One control plane. Five ways to protect margin.

Track cost, detect anomalies, recommend cheaper routes, apply guardrails, and connect AI usage to revenue outcomes from one operating layer.

See where AI spend leaks before it becomes runaway budget.

Live

Break down cost by provider, model, team, feature, and customer so the audit shows what to fix first.

Last 7 daysHealthy

Total AI spend

$18,420

+18.6% vs previous 7 days

Total requests

312K

+14.3% vs previous 7 days

Avg cost / 1K

$0.041

-8.7% after routing cleanup

Waste found

$4,860

26.4% appears avoidable

Spend Over Time

Daily

Spend by Model

$1.25M

Total

GPT-4o
34%$6,260
Claude 3.5
24%$4,420
Llama 3.1
18%$3,320
Gemini 1.5
14%$2,580
Other
10%$1,840

Trusted by growth-focused teams

Nexora
Brightly
Quantix
Elevate
Vertexa
Lumina
Coreflux
Northbeam
Nexora
Brightly
Quantix
Elevate
Vertexa
Lumina
Coreflux
Northbeam
Request-level telemetry
Model routing visibility
Budget policy controls
Revenue margin mapping

The real problem

Your AI bill should not be a black box.

#01Hidden spend

Which customer is hurting margin?

#02No ownership

Which feature burns the most tokens?

#03Budget overruns

Which model is too expensive for the job?

#04Unclear ROI

Which team is trending over budget?

#05Audit risk

Which request caused the spike?

AI Spend Audit Flow

Find leaks first. Then turn them into controls.

A clear four-step path for teams that want proof before rolling out a full AI cost control plane.

Start AI Spend AuditView sample report
Hidden AI waste48-hour reportControl-plane rollout
01

Entry point

Start the audit

Begin with a focused spend audit instead of a broad platform tour.

02

Usage + billing

Upload usage data

Send exports, billing CSVs, or provider files so the report is based on real cost signals.

03

48 hours

Get the report

Receive a practical report showing leaks by provider, model, team, feature, and margin risk.

04

Control plane

Fix waste, then scale

Apply quick wins first, then expand into dashboards, alerts, optimizer, and guardrails.

Use cases

Built for teams that need AI usage to make business sense.

SaaS teams, startups, agencies, and enterprise AI operators use AIProfitHub to see where AI creates margin and where it leaks it.

Use-case control room

SaaS Teams

Turn fast-growing AI usage into founder-level cost control.

Startup

Core pain

AI usage is growing before finance has real visibility.

Outcome

Know which features create margin - and which ones burn it.

How AIProfitHub runs it

1

Capture every AI request from product features

2

Map spend to team, model, and customer

3

Flag spikes before the monthly bill lands

Runway protected

+18%

Waste detected

$4.2k

Setup time

1 day

AIProfitHub adapts the same cost intelligence, routing, attribution, and governance engine to this operating model — without forcing teams into one workflow.

FAQ

Clear answers before you start.

The practical details teams ask about setup, data, budget controls, performance, and fit.

No. AIProfitHub works on top of your existing providers like OpenAI, Anthropic, and Google AI. You keep your stack - we add visibility and control.

Start with AI Cost Audit

Find AI spend leaks before the next invoice hits margin.

Start with a focused audit across model waste, customer profitability, anomaly risk, routing waste, and budget exposure.

Setup

< 10 min

Report

48 hours

Focus

Margin leaks

AIProfitHub — See where AI spend goes. Fix what wastes money. | AIProfitHub