How credit pricing actually works
Under a credit model, you do not pay for a seat or a flat fee. You pay per unit of AI work: a generated asset, an enrichment, a query, an automated action. A plan comes with an allowance of credits, and once you exhaust it you buy more, usually at a worse rate than the bundled ones.
The appeal is real — you "only pay for what you use," and a small team can start cheap. The problem is that your usage is tied to your success, not your budget. Costs that scale with activity feel fair until the activity is the whole point of the tool. The better it works, the more you use it, the more you pay.
Where the cost hides
Credit models bury the real number in places that do not show up in a quick comparison:
- Overage rates. The bundled credits are priced attractively; the credits you buy after you run out often are not. Your marginal cost is the one that matters, and it is rarely on the pricing page.
- Credits that expire. Unused credits that reset monthly mean you are paying for capacity you did not use while also risking running out. You carry the downside both ways.
- Opaque consumption. If one "action" can quietly cost many credits, you cannot forecast. A feature that feels free in the demo can be expensive at volume, and you will not know until the invoice.
- Multi-step agents. An autonomous action that plans, calls a model several times, and acts can burn far more credits than a single prediction. The more "agentic" the tool, the harder the bill is to predict.
- Seats plus credits. Some tools charge for seats and meter usage, so growth costs you on two axes at once.
The questions that surface the real price
Before you sign anything metered, get these in writing:
- "What does each common action cost in credits, with a real example at our volume?"
- "What is the overage rate once we exhaust the plan, and how is it billed?"
- "Do unused credits roll over, or expire?"
- "Can I set a hard cap or an alert so we never blow past a budget by surprise?"
- "If our usage triples because a campaign works, what does the bill do?"
If a vendor cannot answer the last one cleanly, that is the answer. Model your expected volume and your good month — not the average — and price both.
How to keep it predictable
You do not have to avoid credit pricing; you have to bound it. Set a hard spend cap or a usage alert if the tool allows one. Negotiate a committed-use rate if your volume is steady. And weigh the alternative models honestly: a flat fee or a fixed-scope engagement turns a variable, success-punishing cost into a number you can plan around. We break down how audits, sprints, and the portal are priced — and why we favour fixed scope over metered usage — in the pricing guide.
The deeper point: own the workflow
Metered pricing is most painful when you are renting access to a capability you can never keep. Every credit is spent and gone. The alternative is to own the automation — the workflow, the rules, the prompts — so the cost is a one-time build, not a meter that runs forever. That is the model behind our automation sprints: we build the workflow with your team, you own it, and it runs without a per-use toll. The cheapest credit is the one you never have to buy again.
Know what to automate before you pay per use
The free Readiness Score shows you the highest-return workflow to automate first, so you spend on what moves the number — not on credits you can't forecast. Four minutes, no login.
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