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Know what AI costs. See what you get back.

Understand spending, share budgets and connect AI use to the work it supports.

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Buy tokens, rent GPUs, or own the rack?

Open-weight models are now good enough to make self-hosting a financial question rather than a capability one. I modelled four options, an office rack, colocation, rented GPUs and per-token APIs, to find where each one actually wins. The answer turns on utilisation, and it isn't the one the internet keeps giving.

Turn a $3m AI bill into $1.9m

Most teams overpay for AI twice without noticing: they run everything through the default flagship model, and they buy the tokens on a metered plan they can't see into. An intelligent proxy fixes both. Here is the maths, a calculator you can drag, and where Flowstate fits.

Start with the work All use cases

Understand AI spending and value

See where the budget goes and what the business gets back.

Share one AI budget across your tools

Fund people, teams and projects across connected services.

Give your team more capacity

Reduce the preparation, checking and follow-up around recurring work.

Connect AI use to delivered work

Follow AI activity into projects, code and business results.
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Flowstate

Flowstate team

AI costs, finance and the work behind them.

We write about AI spending, business processes and how to measure improvement.

AI costs Finance Business applications

Writing

3 posts

A vision for the future of workforce planning

Engineering represents both an organisation's largest expense and most critical delivery driver, yet planning tools remain almost exclusively in the hands of finance.

The hidden costs of static workforce planning

Modern organizations operate at a pace that defies annual planning cycles. Yet most workforce planning still relies on fixed organizational charts and yearly model refreshes.

Taking the friction away from workforce data analysis

Most leaders understand that engineering represents their largest expense. Yet when asked straightforward questions about hiring delays, executives are forced into investigative work.