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Map your AI services, see what happens when they fail, and rehearse the response.
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Map your AI services, see what happens when they fail, and rehearse the response.
By creating an account, you agree to our Terms of Service and Privacy Policy.
Pick a service and a failure, then watch it travel to your customers and to the people who catch what the AI drops.
AI voice support
Assumed peak: 80 calls a minute · example topology
StatusNot started
Checkpoint · who needs to know
Tap any part of the map to see what the model is assuming about it.
Ready
Press "Run failure" to begin
The failure travels through the map one step at a time.
Who needs to know now
Nobody yet.
What the customer sees
Using the service
Nothing looks wrong
People absorbing it
Normal load. Your team has headroom.
Resilience finding
Where it landed on the fallback ladder
A model built from the numbers you give it. It shows likely failure paths and missing controls, not live monitoring.
Model your own AI service: your channel, your AI, what it reads, what it can do, and the people behind it.
The six ready-made services show how failures travel. Studio lets you build the one you actually run, and save it.
How long can your people carry the load when the AI hands work back?
Enter your real team size, handling times and shift lengths, and see the hour your fallback starts running on tired people.
Who needs to know, in what order, and what they do.
Name the roles in your business, set when each one hears about a failure, and keep the plan in one place.
Runs kept from Run a failure, by you and your team. Open one to read it again, or email it to yourself.
The people on your plan. Everyone here sees the runs the team saves.
Take the plan out of the app and into the tools your team already uses.
Turn a run into a Slack message for your team or a set of Asana tasks with owners and dates.
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