Understanding AI Usage and Service Credits

Recruiter Workspace includes AI features that help recruiters work faster: AI assistants, resume generation, candidate analysis, and end-to-end workflows in features like Desk. These features are powered by your service credits.

Rather than drawing from your full balance without limit, AI uses a dedicated AI allocation that you fund from your service credits. You decide how much to set aside for AI in advance, so your AI spend is predictable and capped. You are never charged beyond the amount you have allocated.

When your organization is set up, you choose how many of your service credits to dedicate to AI. For example, if your organization has 10,000 service credits, you might dedicate 2,000 of them to AI.

The amount you dedicate is set aside from your service credit balance and reserved for AI. The rest of your credits remain available for your other activity, such as candidate submissions and timesheets. AI usage in Recruiter Workspace draws only from your AI allocation.

To set up or change your allocation, submit a request via our Support Portal here. You can dedicate additional service credits to AI whenever you need to.

AI usage reflects the amount of work performed. Each AI action draws from your allocation based on how much content is processed and which model tier is used. A short question draws very little, while generating and refining several documents draws more.

Because usage is based on the actual work performed, the amount varies from one task to the next.

Recruiter Workspace provides AI models from leading providers, including OpenAI, Anthropic, Google, xAI, and Perplexity, organized into four tiers based on capability. By default, Workspace uses Auto, which automatically selects a suitable model for each task. Recruiters can also choose a specific tier or model from the model selector in the app.

The model selector in the app always shows the current models available in each tier, and the lineup is updated regularly as new models become available. Higher tiers use more capable models that process each task more thoroughly, so they draw more from your allocation for the same amount of work.

AI usage draws from your allocation based on the task, the tier, and how much content is involved, so the figures below are typical averages rather than fixed costs.

These averages can help you estimate how far an allocation will go for your team’s volume.

As your team uses AI, your allocation is drawn down. When it runs low, you can dedicate more service credits to AI at any time.

If your overall service credit balance is also low, you can purchase additional service credits through the Beeline Supplier Network using your existing purchasing path.

If your AI allocation is fully used, AI features pause until you add more. This is what keeps your AI spend predictable: you are never charged beyond your allocation, and there are no overage fees.

By default, Recruiter Workspace uses Auto mode, which automatically selects a suitable model for each task. Auto is the recommended setting for everyday use: it matches each request to an appropriate model, so your team gets good results without having to choose a tier. Leaving Auto on is the simplest way to keep AI usage efficient.

Recruiter Workspace tracks AI usage against your allocation and lets your team know as you approach the limit, so you have time to add more service credits.

A few ways to make your allocation go further:

AI uses a dedicated allocation that you fund from your service credits. You decide how much to set aside, and AI usage draws only from that allocation.

Your allocation is set when your organization is onboarded, based on how many service credits you choose to dedicate to AI. To change it, submit a request via our Support Portal here.

No. AI usage draws only from the amount you have allocated. If the allocation is fully used, AI features pause until you choose to add more. There are no overage fees.

AI features pause until you dedicate more service credits to AI. If your overall service credit balance is low, you can purchase more through the Beeline Supplier Network.

Recruiter Workspace supports models from OpenAI, Anthropic (Claude), Google (Gemini), xAI (Grok), and Perplexity. New models are added regularly and organized into the four tiers above.

By default, recruiters use Auto, which selects a suitable model automatically. They can also choose a specific tier or model in the app. Because higher tiers use more of your allocation, leaving Auto on, or guiding your team to the right tier, helps your allocation go further.