Brain+AI

Cost control

“AI at the right cost” pack

Your AI usage wired to the right model at the right price, with a meter and caps, and the measured proof of why each model was chosen.

Who it is for

  • A company paying more than €200/month for AI, subscriptions and replaceable tools without knowing what pays off.
  • A team whose automations call a premium model to sort emails.
  • An AI project on the budget, to scope before spending.

What you receive

  • AI bill audit: usage, subscriptions, cost per use case, prioritised savings plan.
  • Benchmark on your own content: 20 to 30 samples, 3 to 5 models compared, cost measured, quality judged.
  • Multi-model gateway: single entry point, key and budget per use, switch without code, fallback on outage, cost log.
  • Dated routing table, handed over and explained.
  • First quarter of steering: dashboard, caps, alerts, monthly report.
  • Data sensitivity grid: what may go where.

How it goes

  1. 01

    Audit

    One week: inventory, real costs, the first obvious savings.

  2. 02

    Benchmark

    Your content, several models, a measured verdict per task.

  3. 03

    Gateway

    Wiring, caps, meter: your systems switch model in one line.

  4. 04

    Steering

    Monthly report, quarterly review of the routing table.

What we have already done

On our own translation pipeline, switching models divided the cost by 60, and 95% of segments are served from cache. Official provider discounts (batches, caches, off-peak) range from 50 to 90%: our automations use them by default.

What it costs to run

That is the very point of the pack: every call is logged, capped, and the model comes from a table reviewed every quarter. If the audit does not identify at least its own amount in recoverable annual savings, we refund the difference.

Frequently asked questions

Why a €200/month threshold?

Below it, the audit alone does not pay for itself; we tell you and fold it into the wider Audit Sprint. Refusing to sell a useless audit is part of the offer.

Tokens cost almost nothing, so what is the pack for?

Exactly: the cost is no longer the token, it is the wrong model in the wrong place, work done twice, and the absence of a cap. The pack fixes all three.

And my data?

A written sensitivity grid: public at the best price, internal with no-retention providers, personal and regulated self-hosted.

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