Prepaid credits are common in AI products because usage can vary dramatically. Customers buy a balance and consume it when they generate images, run agents, process documents or create video. The model can improve cash flow, but it also creates accounting and operating complexity that a simple monthly subscription does not have.

Cash arrives before the service is delivered

When a customer buys $500 of credits, the company receives cash immediately but still owes future service. Management should distinguish cash collected from economic revenue earned as credits are consumed.

This distinction matters when forecasting runway and gross margin.

Redemption patterns affect compute obligations

Customers may buy credits during a promotion and consume them weeks later. If model prices rise before redemption, the cost of fulfilling those credits can increase even though the selling price is already fixed.

Finance teams should model expected redemption timing, not only sales.

Heavy and light users create different economics

Some customers consume balances immediately through expensive video or agent workloads. Others use only a small portion. Average credit margin can hide these differences.

Track cost per redeemed credit by product feature and customer cohort.

Breakage needs a consistent policy

Some credits expire or are never used. The company needs clear rules for expiration, refunds and recognition of unused balances, following applicable accounting requirements.

Arbitrary expiration can also create customer frustration, so product and finance policies should align.

Promotional credits are not the same as paid credits

Free trial credits, referral bonuses and purchased balances should be tracked separately. Promotional credits may have a very different acquisition purpose and should not distort cash-based metrics.

Outstanding credits create a future service obligation

A large unused credit balance can look like strong cash generation while also representing future inference work. Management reporting should show credits sold, credits redeemed and outstanding balances.

That makes it easier to estimate future compute demand.

Pricing changes need transition rules

If an image used to cost 10 credits and later costs 15, what happens to existing balances? Products should define whether credit purchasing power changes or whether old customers receive grandfathered economics.

Frequent changes can make the system difficult for users to understand.

Credits can improve working capital

Prepayment means the company receives cash before paying some of the future serving cost. This can shorten the cash conversion cycle compared with invoicing usage in arrears.

However, the benefit is only real if the company reserves enough capacity and cash to fulfill future consumption.

Measure margin on redemption, not just sale

The correct economic view connects each unit of consumed credit to model, cloud, payment and creator costs. A credit sold months ago may have a different margin when it is eventually redeemed.

Our article on AI startup gross margin sensitivity shows how provider price changes can affect the business.

Useful dashboard metrics

• Credits sold by period.
• Cash collected from credit sales.
• Credits redeemed.
• Outstanding credit balance.
• Average compute cost per redemption.
• Expiration and refund rate.
• Contribution margin by feature.

Stress-test redemption spikes

Prepaid balances can create operational pressure when many customers redeem at the same time. A product launch, seasonal campaign or popular new video feature can convert months of accumulated credits into compute demand within days.

Finance and infrastructure teams should model a high-redemption scenario: what happens if 30% or 50% of outstanding balances are consumed during one month? The answer affects GPU capacity, provider limits and cash planning. Outstanding credits should therefore appear not only in financial reporting but also in capacity forecasts.

Product teams should also make balances easy for customers to understand. If credits have different values across features, users may struggle to predict how long a balance will last. Clear conversion tables, usage history and estimated remaining capacity reduce support requests and make pricing feel more transparent.

Internally, the same visibility helps finance distinguish between healthy prepayment and a growing service obligation that may require future compute purchases.

Credits are both a product and finance system

Prepaid usage can improve cash flow and give users flexible pricing, but it should not be treated as free money. The business needs to understand the future service cost attached to every outstanding balance and how redemption behavior changes unit economics over time.