AI-native IT cost intelligence

IT cost numbers exist. The picture doesn't.

Inturol builds it from the data you already have. In days, not months.

For organizations where IT spend became a board-level question.

The shift

Your IT spend is scattered across every system you run.

Inturol connects it. Here is what comes out.

The sources you already have

General LedgerCloudAI UsageContractsHRCMDBAssetsTicketsBudget

Inturol AI

one connected view of IT spend

One picture

illustrative

Total technology spend

$41.3M

The estate
Run / grow / transform64 / 24 / 12
Renewing in the next 12 months$6.2M
AI, across every source$8.9M
Allocated to business units100%

Renewals you can negotiate

Budgets you can defend

A cost split that survives the review

The whole number

What AI actually costs.

One question, no single answer

Customer Support Copilot

Model & inference$1.3M
Platform licences$720K
AI engineering$980K
Advisory & build$164K
4 systems · nothing counted twice$3.1M

You don't have to trust it. You can check it.

Open any component and you get where it came from, and the rows behind it. Those rows add up to the number on screen.

Model & inference · Σ = $1,284,000.00 ✓

And everything else has one too

Your books $41.30M · in Inturol $41.28M · difference 0.05%

Where a source has no data uploaded, we mark it absent rather than fill it in.

Ties out

Ask

Answers in seconds, receipts attached.

The picture is already assembled. Ask it directly.

Ask

$0.00M

Microsoft, every source

The invoices say $2.71M. The rest sits in a cloud commitment, two other agreements, and the team that runs it.

How it got there

GL, direct invoices$2.71M
Cloud, enterprise commitment$840K
Contracts, 2 agreements$390K
HR, 1.2 FTE$180K

Every line traces to the transactions behind it.

Illustrative figures. Your numbers will differ.

The honest comparison

Three ways to get this picture.
All three run on people. Ours doesn't.

01A spreadsheetSomeone in finance exports the ledger and starts tagging lines in Excel.Months of work, stale by the next close. And only its author can explain a number.
02A custom BI buildThe team builds its own model in Power BI.The mappings are kept by hand and the total never quite ties to the ledger. Every review starts with whose number is right.
03A platform and a projectLicense the software, then buy the year that makes it work.Implementation teams build it. A standing IT finance office runs it.
04InturolBuilds the model itself, in days, and keeps it current.Your team reviews the close calls instead of tagging rows.

Book a demo

See Inturol on your own data.

A focused walkthrough on your own numbers, with our team.

  • Runs on the data you already have. A ledger export is enough
  • Your IT spend, organised by what it does and tied back to your ledger
  • 30 minutes with our team, mapped to your environment

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