Your AI agent goes down at 10 a.m. on a Tuesday. Support tickets that were routing automatically start piling up in a queue nobody is watching, and when you call the vendor, the answer is a status page that says "investigating" with no time estimate. You go looking for what you are owed and find that the sales deck mentioned "99.9% uptime" but the actual contract you signed says something different, or says nothing measurable at all.
An SLA, or service level agreement, is the contract clause that commits a vendor to a minimum uptime percentage over a defined period and specifies what happens when the vendor misses that number. For a traditional SaaS tool, this is a solved problem with decades of standard language. For an AI agent, the SLA question gets murkier: is the agent "up" if the interface loads but the underlying model is degraded and returning slow or low-quality output? Most vendor contracts do not answer that clearly, which is exactly why you check before you sign, not after the outage.
What Does an AI Agent SLA Actually Guarantee?
An AI agent SLA guarantees a measurable uptime percentage, most often 99.5% or 99.9%, calculated over a monthly or quarterly window, along with a defined remedy for missing it. That remedy is almost always a service credit against a future invoice, not a cash refund, and the credit is usually a small percentage of that month's fee rather than compensation for the business impact of the outage.
What it does not guarantee, unless the contract says so explicitly, is output quality. A model that responds within its uptime window but gives wrong or degraded answers is not counted as downtime by most vendor SLAs, because uptime is measured at the infrastructure level, not the output level. If accuracy matters as much as availability for your use case, that is a separate clause to ask for, not something bundled into the uptime number.
How Do Uptime Credits Work When an AI Agent Goes Down?
Uptime credits work on a sliding scale tied to how far below the guaranteed percentage the vendor actually fell during the measurement period, and you have to file a claim within a set window, often 30 days, or forfeit it. The vendor does not proactively issue the credit in most cases; you are responsible for tracking the outage, documenting it, and submitting the claim before the deadline.
The table below shows how the credit percentage typically scales with actual uptime, using a common SLA structure as a reference point. Exact numbers vary by vendor, but the shape of the curve is consistent across most AI agent contracts.
| Actual monthly uptime | Typical service credit | What it means in practice |
|---|---|---|
| 99.0%–99.9% | 10% of monthly fee | About 7 hours of downtime in a month, a minor credit |
| 95.0%–98.9% | 25% of monthly fee | Over a day of cumulative downtime, a moderate credit |
| Below 95.0% | 50% of monthly fee, sometimes termination rights | Serious outage pattern, often a contract exit trigger |
What Response-Time Commitments Should You Expect From Support?
Separate from uptime, a usable SLA also commits to a support response time tied to issue severity, typically under an hour for a full outage, a few hours for a major function broken, and one to two business days for a minor bug. Without severity tiers, a vendor can technically meet its SLA by responding to a critical outage with an automated "we've received your ticket" email and nothing more for a day.
Ask specifically whether the response-time clock starts when you submit the ticket or when a human acknowledges it, and whether "response" means a real update or just an acknowledgment. Vendors that have thought this through will have the distinction written into the contract already.
How Do You Review an SLA Before You Sign?
Work through these steps in order before you commit to any AI agent vendor with a time-sensitive use case.
- Find the exact uptime percentage and confirm the measurement window (monthly is standard; some vendors use quarterly, which hides shorter outages).
- Check what counts as excluded downtime, such as scheduled maintenance or "force majeure" - these hours do not count against the guarantee.
- Confirm whether the SLA covers output quality or only infrastructure uptime.
- Find the credit formula and the claim deadline, and put that deadline on a calendar the day you sign.
- Check for severity-based support response commitments, not just a single generic response time.
- Ask whether repeated SLA misses trigger a termination right, and what notice that requires.
Working through this list against five vendor contracts by hand is slow, especially when the SLA language is buried on page eleven of a master service agreement rather than the pricing page. A directory like eBusiness Centers' AI agent search lets you filter listings by category and compare how vendors describe support and reliability commitments before you request a contract, so you walk into that conversation already knowing what to ask for.
Is Negotiating an SLA Worth It for a Small Business?
A common objection is that a small business has no leverage to negotiate SLA terms with a vendor that has thousands of customers, so why bother asking. That is often true for the uptime percentage itself; a vendor is unlikely to raise 99.5% to 99.9% for one small account. But the claim deadline, the severity tiers for support response, and whether output-quality issues count toward the guarantee are all details a vendor can usually clarify or adjust in writing without a formal negotiation, because they cost the vendor nothing to specify. Ask for these in writing during the sales process, before you sign, when the vendor is still motivated to answer clearly.
Start by Comparing SLA Terms Across Vendors
Before you request a contract from any AI agent vendor, pull up the SLA section and check the uptime window, the credit formula, and the support severity tiers side by side with at least one competitor. Create a free account on eBusiness Centers to shortlist AI agent vendors by category and message them directly with these SLA questions before you are three weeks into an outage with no clear remedy.
An SLA, or service level agreement, is a contract clause where a vendor commits to a minimum uptime percentage over a defined period and specifies the remedy, usually a service credit, if it misses that number. For AI agents, check separately whether the SLA covers output quality or only infrastructure uptime.
Most AI agent vendors guarantee 99.5% to 99.9% monthly uptime. A 99.9% guarantee allows about 43 minutes of downtime per month, while 99.5% allows roughly 3.6 hours. Confirm the measurement window, since a quarterly window can hide a bad week inside an otherwise average quarter.
No, almost all AI agent SLA credits are applied against a future invoice rather than refunded as cash. The credit is typically 10% to 50% of that month's fee depending on how far uptime fell below the guarantee, and most contracts require you to file a claim within a set deadline.
Usually not by default. Most SLAs measure infrastructure uptime, meaning the service responded, not whether the response was accurate. If output quality matters for your use case, ask the vendor for a separate accuracy or quality clause in writing.
Contracts that include a termination-for-cause clause typically let you exit without penalty after a set number of consecutive SLA misses, often two or three months in a row. Confirm this clause exists and what notice period it requires before you sign.