A client called us in a mild panic a few months back. Their support chatbot — the thing answering questions on their pricing page, handling maybe 40% of first-contact tickets — had gone completely silent. Not slow. Silent. For six hours.
Nothing was wrong with their code. Their AI provider was down. And because every single request went to that one provider, "down" for them meant "down" for their business.
This is more common than owners think
Most small and mid-sized companies that use AI — for support, for content, for internal tools — plug into exactly one provider. Usually whichever one their developer set up first, or whichever one was cheapest when the project started. That's a reasonable way to get something shipped. It's a bad way to run something that customers depend on.
The providers themselves have outages. Regularly. Not "once a year, act of God" outages — more like a few hours here, a degraded response quality there, a rate limit that suddenly gets hit because everyone else on the internet is also using that provider today. None of that shows up in a sales deck. It shows up at 2pm on a Tuesday when your support queue backs up and nobody can tell you why.
The fix isn't "pick a better vendor"
I get asked a lot which AI provider is "the best one." Wrong question. The better question is: what happens to your business the moment your current one has a bad day?
If the honest answer is "everything stops," you don't have an AI strategy — you have a dependency. The fix isn't switching providers, it's not depending on just one. Route requests across two or three providers, and fail over automatically when one misbehaves. It sounds like an engineering problem, and technically it is, but the reason to fix it is entirely a business one: uptime, cost control, and not being held hostage by one company's infrastructure decisions.
We built ElseLane after watching this exact scenario play out with enough clients that it stopped feeling like a coincidence. It's a credits-first API that routes across providers and fails over automatically, so a bad afternoon at one vendor doesn't become a bad afternoon for you. That's the whole pitch — nothing clever, just a seatbelt.
What to actually ask your team
You don't need to understand the technology to manage the risk. Ask three things:
If our AI provider went down right now, what happens to the customer-facing parts of our business? Do we have anything routing around a single point of failure, or is it one wire from us to one company? And who finds out first when something breaks — us, or our customers?
If nobody on your team can answer those with confidence, that's not a technology gap. It's a business continuity gap that happens to run on AI. Worth closing before the next Tuesday at 2pm.