For CIOs, finance and procurement

Know what AI costs, what it returns, and who should pay for it.

AI spend arrives through more budgets than anyone tracks, and some of it buys little or nothing. We help you see all of it, find what you can stop paying for, and keep spend matched to the value AI delivers as it grows, without slowing down the people who use it well.

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Why AI spend is hard to control

It arrives in four forms, through different budgets, and no one system shows it all.

Seats

Assistants and copilots bought for whole teams, where many seats go unused after the first month.

AI inside software you already buy

AI switched on by the vendor or added at renewal in your CRM, finance, HR and other platforms, often outside the IT budget.

Usage charges

Agents and model usage that grow with use and have no natural ceiling unless someone sets one.

Cards and expenses

Personal subscriptions and small tools bought by teams, invisible to IT and procurement until someone looks.

The cost of AI by stage

The cost of AI changes form as AI does more.

As AI moves from helping your people to doing the work, the bill moves from seats to usage, and the right way to judge it changes too. The cost should sit with the part of the business that decides to use the AI and gets the benefit. See the three stages →

1 · AI helps your people work

Mostly seats and add-ons, judged by cost per active user and by whether the people who have a seat use it.

2 · AI does the work

Usage charges, plus the people who check the output, judged by the cost of each outcome against what the same work costs when people do it.

3 · AI becomes your business

AI cost inside what you sell, judged as a share of revenue for each product or customer.

Value counted once

Agents rarely deliver an outcome alone, so value is counted once for each piece of work they serve, such as a claim settled, never agent by agent.

What you get

Evidence to negotiate with, and a financial model your finance team can stand behind.

For the CIO and the IT category lead

Buy from evidence, not the vendor’s forecast.

We show what is used behind every AI contract and which renewals and commitments to resize or consolidate, lined up early enough to act on. You buy for the stage the business has reached, and avoid committing today’s price to tomorrow’s AI.

  • One view of AI spend across seats, software you already buy, usage and expenses
  • Unused licences, overlapping tools and people paying twice
  • AI cost that the business drives moved to the people who decide to use it, so your budget covers the platforms you run, not demand you don’t control

For finance

A financial model for your AI, kept up to date.

In the AI governance service, we build and keep a financial model of your AI in your own systems: what each use costs and who carries it, what each outcome costs against a standard cost your finance team sets, and the value of each workflow beside its cost. If you leave, you keep it.

  • Savings we identify are labelled and dated to when they can become cash, often at renewal
  • Savings identified and savings realised are kept apart and never added together
  • Your finance team owns the numbers and the baseline

Control without slowing adoption

One-off savings fade as new tools arrive. The framework keeps spend matched to use.

Approved tools people want to use, a short route to ask for new ones, budgets on usage, and a regular review that marks each use to keep, fix, scale or retire, so money moves from AI that doesn’t work to AI that does. We don’t sell the AI tools your people use, so our recommendations aren’t shaped by them.

See where your AI money goes.

Start with a 30-minute walkthrough. An AI review then shows what AI is in use and what it costs; an AI governance assessment shows how well that cost is governed today.

Book a 30-minute walkthrough