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Every AI cost
accounted for.

See where AI spend is going, who owns it, and what’s driving the bill — across every provider, tool and team.

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  • Spend
  • Usage
  • Ownership
  • Budgets

Overview

AI spend, usage and licences at a glance.

Total AI Spend
$18.4K
12.4% vs last month
Token Usage
84.2M
9.8% vs last month
Active Licences
126
4.1% vs last month
Spend Over Time
Actual spendOptimised with TheCost
$5K$3K$1K$0Apr 21Apr 28May 5May 12May 19
Spend by Provider
  • OpenAI$8.2K45%
  • Anthropic$4.6K25%
  • Google$3.1K17%
  • Meta$1.5K8%
  • Other$1.0K5%
Top Teams by Spend
  • Engineering
    $6.4K
  • Product
    $3.8K
  • Marketing
    $2.7K
  • Data Science
    $2.2K
  • Operations
    $1.3K

02 / Connectors

Works with the AI tools
your business already runs.

Connect licence data, provider usage, token spend and CSV exports. We normalise it all into one finance-ready view — no new AI gateway, no change to your stack.

Microsoft 365 Copilot
OpenAI
Anthropic Claude
GitHub Copilot
Cursor
Kiro
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Hugging Face
LiteLLM
CSV upload
Internal AI tools
Microsoft 365 Copilot
OpenAI
Anthropic Claude
GitHub Copilot
Cursor
Kiro
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Hugging Face
LiteLLM
CSV upload
Internal AI tools

Read-only by default — request a connector

03 / The Problem

AI adoption is outrunning
budget accountability.

Licences sit in one system, API usage in another, token costs with engineering, renewals with procurement. Finance is left to stitch it together at month-end.

Today

  • Copilot, ChatGPT, Claude, Cursor and GitHub Copilot seats are assigned — but no one can tell which ones are actually being used.
  • OpenAI, Claude and LiteLLM usage live in separate dashboards. API keys and projects often have no clear business owner.
  • Finance can't allocate AI spend to teams or cost centres. Procurement doesn't know which licences are worth renewing.

With TheCost.ai

  • One normalised view of licence spend and usage spend across every connected tool and provider.
  • Unused seats, ownerless API keys and unmapped projects surfaced automatically — with clear owners and cost centres.
  • Finance-ready monthly export covering licence cost, usage cost, provider, team and cost centre.

04 / Inside

AI FinOps built for the tools you already use.

01

AI licence intelligence

Track Copilot, ChatGPT, Claude, GitHub Copilot and Cursor seats. See who has access, what it costs, and which licences are unused or underused.

02

Usage & token spend

Normalise API usage, token costs, request volumes, providers, models, API keys and projects into one clean spend view — across OpenAI, Claude, LiteLLM and more.

03

Cost allocation & ownership

Map users, API keys, projects and usage sources to teams, departments and cost centres so every dollar of AI spend has a clear owner.

04

Waste detection & budgets

Surface unused seats, ownerless keys and unmapped spend. Set thresholds per team, provider or project, and catch risk before budgets break.

05

Finance-ready reporting

Export a monthly view of licence cost, usage cost, total cost, provider, team and cost centre — the report finance, procurement and FP&A actually need.

06

Read-only by default

We connect to your existing AI stack — no new gateway, no prompt or completion content required. Usage, cost, licence and ownership metadata only.