Early access opening shortly
Know what breaks when AI does.
SignalBreak shows your AI dependencies, blast radius, and single points of failure — in plain English, with professional reports you can share with leadership.
Sound familiar?
- Model updates silently change outputs — you find out when customers complain
- No visibility into what your AI is actually telling customers — until something goes wrong
- Calculations and scoring drift over time — your reports look fine but the logic shifted
- Leadership asks "how do we know the AI is behaving?" — you have no answer
What you'll get
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Dependency mapWhich workflows rely on which providers, models, and services.
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Blast radius viewWhat breaks (and how badly) when things degrade or go down.
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Fallback readinessWhere your "multi-model strategy" is real — and where it isn't.
Snapshot preview
OpenAI
73% • 8 workflows
Anthropic
18% • 2 workflows
Google / Other
9% • 1 workflow
If OpenAI has an outage, 73% of your AI capability stops. Most teams don't realise this until it happens.
Customer Support Chatbot
No fallback
Document Processing
No fallback
Lead Qualification
No fallback
Content Generation
No fallback
4 business-critical workflows have zero redundancy. When the provider fails, your team manually handles the load — or customers wait.
Coverage
2 of 9 workflows protected
✓ Email Triage
GPT-4 → Claude fallback
✓ Code Review
Claude → GPT-4 fallback
7 workflows have no backup plan. "Multi-model strategy" on paper doesn't mean resilience in practice.
Get notified when the first free SignalBreak Snapshot is live.
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Enterprise: API access for integration with your existing tools and dashboards.
Enterprise: API access for integration with your existing tools and dashboards.