You’ve built your product on AI. You’ve got models humming in the background, APIs firing every few milliseconds, and dashboards that make you feel like the future is finally here. You haven’t got an AI Vendor SLA.
And then….silence.
Your AI vendor’s status page goes orange (or worse, red). Social channels fill up with “Is anyone else seeing this?” posts. Your team stares at each other across Zoom tiles.
Global outage.
So, what do you do when the brains behind your app suddenly go dark?
Let’s talk about surviving (and even thriving) through an AI vendor outage.
Don’t Panic and Don’t Guess
Your first instinct will be to start debugging your own systems. That’s good but set a 10-minute timer. If everything you control looks normal, check your vendor’s status page, social channels, or community forums.
Most outages are global, not local. You’re not alone. Save your engineers’ brainpower for the recovery, not the panic phase.
Have a Fallback Plan
This is where architectural foresight pays off. Consider:
- Caching: Store the last known good responses for critical queries. Even stale AI beats no AI.
- Graceful degradation: Build “fallback modes” into your UX, simple rule-based logic, or friendly messages like “We’re running on limited AI capacity right now.”
- Multi-vendor strategy: If budget (and necessity) allows, maintain a backup integration with an alternative API. It doesn’t need to be feature-parity perfect just enough to keep key flows running.
Communicate Clearly (Internally and Externally)
Transparency beats silence every time.
Internally, keep your team updated in real-time. Who’s monitoring the situation, what’s known, what’s speculation.
Externally, tell your customers the truth. A short update like, “Our AI provider is currently experiencing a global outage. Your data is safe, and we’re monitoring the situation closely. We’ll update you every 30 minutes” goes a long way to build trust.
Use the Downtime Wisely
An outage is a stress test, and a gift.
Take notes. What failed gracefully? What didn’t?
This is the perfect moment to build a post-mortem template, improve monitoring alerts, or even test a “vendor down” simulation as part of your future incident response drills.
Think of it as your AI fire drill.
Review Vendor SLAs (and Your Own)
Once things are back online, review the fine print.
- What’s your vendor’s uptime commitment?
- Do you have redundancy clauses?
- How does this affect your SLAs to your clients?
Outages are inevitable, but the business impact doesn’t have to be catastrophic if your contracts and contingencies are solid.
Keep Perspective
Every major provider has had downtime, AWS, OpenAI, Anthropic, Google, you name it.
What matters isn’t that it happened, but how you respond.
Your customers remember your calm, your communication, and your competence…not the five hours when your chatbot took an unplanned nap.
Wrapping Up
AI vendors are becoming part of our digital plumbing, but that also means we need to design for the leaks.
The companies that thrive are the ones who treat outages not as chaos, but as catalysts for resilience. They all need an AI Vendor SLA.
So, the next time the lights flicker in the AI world take a breath. You’ve got this.
Author: Deborah Holmwood, Client Change & Transformation Partner.
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