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The Flowstate platform
Flowstate Helm

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 / People + AI Talk through your priorities
For finance teams

Control the costs. Cut the preparation work.

See where AI spending goes and give your finance team less work gathering figures, reconciling records and preparing reports.

Talk through your priorities
September · Budget vs actual
DepartmentBudgetActual
Operations £48,000 £46,500
Commercial £36,000 £38,200
Technology £52,000 £50,800
Total · £136,000 budget / £135,500 actual

Start with the work you need to improve.

Finance reporting

More accurate reports. More time for your finance team.

Reduce the hours spent gathering figures, reconciling spreadsheets and preparing monthly reports. We connect your records, check the numbers and give your team a report they can review.

 AI spending & value

Know where your AI budget goes. And what it’s doing.

See AI costs by provider, person, team and project. Connect spending to business activity so you can understand what the money supports and where to invest next.

 Intangible asset costs

Know what it costs to build your intangible assets.

Bring people, AI, contractor and project costs together around the assets your business is creating. Give finance the evidence to assess value and decide which costs qualify for capitalization.

 R&D value & evidence

Find the R&D work worth assessing.

Bring technical records, effort and project costs together so valuable R&D work doesn’t get missed. Help your team and advisers assess opportunities with a clearer evidence base.

 Deal approvals

Get complete deals to the right approver.

We build a deal desk that brings pricing, documents and approval requests together. Your team can handle routine checks and give complex deals the attention they need.

 One budget across your AI tools

Give your people a budget. Let them choose the tools.

Set a monthly allowance. Flowstate adjusts limits across your AI tools as people use them. Fund projects, share spare capacity and approve requests without managing every tool separately.

Agree how you’ll measure the return.

Track preparation and review time, reconciliation differences and spending against budget. Keep finance-approved capitalisation effects separate from operating savings.

You can use Flowstate Helm, an application we build, or both. We’ll work with your team to agree the scope and keep improving what we deliver.

Give us the process and the problem.

We’ll help you decide what to change first.

Talk to Flowstate