How to Structure SLA Credits Without Killing Margin

Enterprise buyers will ask for SLA credits, money back when you miss your uptime promise. You can give them credits without wrecking your economics, but only if you structure the SLA so the credits are bounded, tied to something you can actually measure, and capped at a number you can afford to pay. Vendors who agree to a generous-sounding SLA without doing the math end up owing refunds they cannot cover on a deal that was supposed to be profitable.

Here is how to write service credits that satisfy the buyer and still protect your business.

What SLA credits actually are

An SLA credit is a partial refund the buyer earns when you fail to hit a committed metric, usually uptime. Miss your 99.9% and the buyer gets some percentage of their fee back for that period. The credit is not a bonus you pay for goodwill. It is the buyer's remedy, and for most contracts it should be their only remedy for a miss, which matters more than the credit amount.

The credit exists to make your promise credible. A number with no penalty behind it is marketing. A number with a credit behind it is a commitment, and that is what the buyer is buying: assurance, not just uptime, which is the whole point that assurance is the product.

How to keep credits from eating your margin

Three structural moves keep credits bounded.

Cap the total. The credit should never exceed a fixed percentage of the monthly fee, often 10 to 30% at the worst tier. Never write an uncapped credit and never let credits stack past the month's fee. A missed month should cost you a slice of that month, not the whole contract.

Make credits request-based, not automatic. Require the buyer to claim the credit within a window, say 30 days, with the incident referenced. Most buyers never file. This is standard and fair, and it stops small blips from auto-draining your revenue.

Tie credits to the tier they bought. A buyer paying for 99.9% gets a smaller remedy than one paying for 99.99% and a premium price. The stricter promise costs them more, so the credit they earn is proportionate to what they paid for the guarantee.

Do the arithmetic before you sign. If your infrastructure realistically delivers 99.9% and you promise 99.99%, you are pricing in refunds you will owe every quarter.

Measure what you can actually prove

The fastest way to lose an SLA fight is to commit to a metric you cannot measure cleanly. If your SLA says "uptime" but you and the buyer disagree on what counts as down, every incident becomes an argument.

Define the metric precisely: what endpoint, measured how, over what window, excluding what. Scheduled maintenance windows and buyer-caused outages should be carved out explicitly. Then instrument it so you have the numbers before the buyer does. Owning your own monitoring matters here, because you cannot honor a credit you cannot measure, and this connects to what an AI product SLA should actually promise: promise only what you can prove.

The AI-specific trap: promising quality, not just uptime

Standard SLAs cover availability. AI buyers increasingly want a promise about output quality too, accuracy, or that the model will not hallucinate. Be very careful here. Uptime you can measure and control. Model output quality is harder to define and riskier to guarantee.

Do not credit against "accuracy" unless you can define and measure it in the contract. Instead, promise the assurance mechanisms: human review on high-stakes output, audit trails, and a defined process when the AI is wrong. That reframes the guarantee from an impossible quality promise to a credible process promise, which is the honest way to handle the hallucination objection. Who owns the outcome when the model errs is a contract question too, tied to who is accountable when AI is wrong.

Write the SLA you can actually keep

The best SLA is one you comfortably beat. Promise a number your infrastructure clears with margin, cap the credits, define the metric tightly, and instrument it yourself. Then the credit clause becomes a trust signal you rarely pay out, instead of a recurring tax on your revenue.

When I run products on infrastructure I control through HostSSH, I set uptime promises I can keep because I own the stack and the monitoring both. A vendor who sells a headline SLA number they cannot measure is selling a liability. A vendor who sells a modest number they always beat is selling assurance, and assurance is what closes the deal.