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Case study 28 / 35

How We Built the Only AI Failover Layer Across Our Full Systems Portfolio So One Outage Can’t Take Down Every Product

A failover layer, proven first inside our own scheduling assistant, now automatically switches AI models instead of surfacing an error.

How we did it

  1. Step 1
    Automatic Failover

    Switches to an alternate AI model automatically instead of returning an error.

  2. Step 2
    Proven in Production

    First built and tested inside our own scheduling assistant product.

  3. Step 3
    Now Shared Infrastructure

    Generalized into the AI layer behind our own live products.

  4. Step 4
    Portfolio-Wide Exception

    The only system with real model failover found across our full systems audit.

AI ResilienceDeployment SafetyInternal Infrastructure
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Model failover, pinning, and budget caps for teams shipping AI features.

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Client names are withheld by default and replaced with an industry description throughout — the work speaks for itself either way.