Auto-Claiming SLA Credits: What the Tools Do, and What They Cannot
August 28, 2026
Automated claim tools, this site included, do three jobs well: they watch the big four's health feeds around the clock, they flag the outages that cross a published SLA threshold, and they draft a claim you can submit. What they do not do is file the claim for you, negotiate a bespoke contract, or argue an appeal. If you are evaluating whether automation is worth paying for, the honest answer depends on which side of that line your problem sits.
What automation actually covers
A decent claim tool runs this loop, continuously and without holidays.
| Step | What the tool does | What it cannot do |
|---|---|---|
| 1. Watch | Poll status pages, health feeds and incident APIs for AWS, Azure, GCP, and DigitalOcean down to service and region | See an outage that never reaches any public feed |
| 2. Match | Map the incident to the services and regions you actually use, and to the published SLA thresholds | Know which of your deployments that outage genuinely hit, if you never told it |
| 3. Compute | Estimate the credit tier the published schedule implies, for example 10% of the affected service's regional bill for a first-tier AWS breach | Decide the final number: the provider computes it from their telemetry |
| 4. Draft | Pre-fill the claim text with account details, incident dates and times, and the provider's own claim-format requirements | Press the submit button in your provider's support portal |
| 5. Track | Count down each provider's claim window, from Google's 60 days (30 on several services) to AWS's end of the second billing cycle | Extend a window you missed |
That is most of the work. Filing an AWS claim means opening a support case with "SLA Credit Request" in the subject, the billing cycle and region, the dates and times of each incident, and your request logs attached. The tooling can produce all of it; the submission happens in your AWS account, because only you can open the case. Azure's route runs through a support request in the Azure portal with the Service Health incident reference. Google wants log files showing the downtime periods, submitted through their support contact. DigitalOcean asks for an email to success@digitalocean.com with the account address and affected resources. Every one of those is a human-authorized action by design.
The tool closes the awareness and paperwork gap. It cannot close the authorization gap: providers will only accept a claim from the account holder, and a draft claim never submitted is worth exactly nothing.
The three gaps that stay manual
Bespoke SLAs. Public schedules are the floor, not the ceiling. Large accounts negotiate their own terms: higher commitments, different credit schedules, custom remedies. If your contract has a private SLA amendment, an automated tool matched to public schedules will miscalculate, usually in your disfavor. Custom terms need a human who has actually read the contract, and claims against them go through the account team, not a web form.
Denials and appeals. A claim that gets rejected is a negotiation, not a template. Denials turn on evidence gaps, misread thresholds, or the wrong region in the claim, and fixing them means reading the rejection reason, pulling better logs, and arguing specifics. The appeal path is inherently manual work.
Judgment about worth. Should you claim a $20 credit, or save the goodwill it costs with your account team? Is a pattern of breaches worth escalating commercially instead of filing monthly? Those are business decisions. Automation can surface every fact; it should not make the call.
Where the boundary sits in practice
The realistic division of labor for a small team looks like this. Automation owns detection: it never gets bored, never takes vacation, and it catches the Tuesday afternoon incident your team would have noticed a week later, inside a window that is already half gone. It also owns the paperwork: correct claim format per provider, deadlines tracked per claim, evidence collected at incident time instead of reconstructed two months later. Humans own submission and everything after: review the draft, press the button, and handle any pushback.
Two warnings from the other direction. First, tools that promise fully hands-off filing through your account are asking you to hand over credentials to your cloud console or support portal. That is a security trade you should make deliberately, not by default; the big four's own claim procedures assume the account holder submits. Second, a monitoring tool without claim tracking only solves half the problem. Detection without a deadline countdown is how teams end up with proof of an outage and a forfeited claim, the specific failure the deadline math punishes.
What to actually do
If you run more than a handful of services on AWS, Azure, GCP, or DigitalOcean, automation pays for itself the first time it catches a breach you would have missed, on a bill big enough for the first credit tier to matter. If you run one small stack, the do-it-yourself version is a calendar reminder the day an incident happens, set for well before the shortest relevant window, plus the claim formats bookmarked from the claim guide. Both paths work; only the first one scales.
UptimeAudit does the watching, matching, drafting, and countdown for the big four, and hands you the claim to submit. The half an hour a month it saves on paperwork is real, but the bigger value is the claims that never get missed in the first place.