Outages at major AI providers are now routine. How to keep employees and AI-powered products working when one model or provider is unavailable.
Every major AI provider has had outages, and some have gone down on the same morning as each other. Degradations are even more common: error rates rise, responses slow to a crawl, and requests time out without any official incident. For a company that runs on one provider, each of these events stops work. For a software company whose product depends on one provider, it stops its customers' work too.
Real resilience at the model level needs four things working together:
Most failover setups simply send traffic to a backup. CompletionPrism™ already prices every request on every approved model before it is sent, so when a provider is unavailable, the work goes to the next best model on cost to finish, not just the next one on a list. Employees keep working in the same place, and nothing has to be reconfigured during the outage.
For software vendors, the Embedded License brings the same failover inside their own product. A vendor can tell customers that its product never goes down because an AI model is unavailable.
List every place your company or product calls an AI model. For each one, ask what happens if that provider is down for two hours. If the answer is that the work stops, that is the first place to add a second provider.