Cost control · recruitment agencies

Reduce AI costs across your recruitment agency

When every consultant has their own AI subscription, the agency can't see the total. Prompt Orange puts AI spend by consultant, desk and model in one view.

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One number for the agency

See AI spend across desks in one place, instead of expense claims for personal subscriptions.

Budgets per desk

Set sensible limits per team or desk, with warnings before they're breached.

Stop paying for re-runs

Approved prompts mean a usable advert or outreach first time, not three attempts.

Model-neutral, by design

Because Prompt Orange sits across Claude, ChatGPT and Gemini rather than reselling one of them, you can always move work to whichever model is cheapest for the job — and you're never locked into a single vendor's pricing.

Go deeper

The capability

Cost control

Your sector

AI for recruitment agencies

Guide

How to reduce your company's AI bill

Frequently asked questions

How does Prompt Orange help reduce AI costs?

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It gives you one view of what every team spends across Claude, ChatGPT and Gemini, lets you set budgets and caps, routes everyday tasks to cheaper models, and reduces wasted re-runs through shared, approved prompts. You cut spend by seeing it and controlling it, not by switching off useful tools.

Can we set a budget per team or per person?

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Yes. You can set monthly budgets at the team or individual level and get alerted as they approach the limit, so spend is predictable rather than a month-end surprise.

Does it work across different AI providers?

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Yes — that's the point. Spend tracking and controls span Claude, ChatGPT and Gemini together, so the total is one number instead of three separate invoices, and you can move work to whichever model is most cost-effective.

Will controlling costs slow my team down?

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No. The aim is to remove waste — failed re-runs, over-powered models on trivial tasks — not to ration access. In practice, approved prompts mean people get a usable answer the first time, which is both cheaper and faster.

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