What it is
The organization decides on its circuit breaker in advance, while nobody is under pressure. The organization names the signals that mean something has gone wrong, such as a rise in overturned decisions or a pattern of complaints. It commits to stopping the system when those signals appear. Deciding in advance means nobody has to argue for the halt while the pressure is on.
What it pushes on in the Lab
In the Lab, this lever closes the pathway by which people adopt the automated system's failed output, for as long as the halt holds. It also puts a ceiling on the failure regime, the network's tendency toward failures that compound rather than correct themselves.
In the modes that offer aiming, you can aim this lever at particular parts and pathways of a network. Otherwise it applies to the whole network.
Its pattern in the Practice Library
The Practice Library describes the pattern behind this lever:Deployment circuit-breaker
The pressures it answers
These pressures list this lever among the levers that answer them:
- Workload surges
- Monitoring goes stale
- Users push back
- AI-literacy gap widens
- Expectations outrun the gains
A lever answers a pressure when it pushes the other way on something the pressure pushes on.
Where you can pull it
Networks in the Lab that offer this lever:75
- Air Canada chatbot
- Amazon fulfillment-centre productivity discipline
- Amazon recruiting engine
- Amsterdam Smart Check
- Aon's three-instrument pre-hire assessment suite
- Audi press-shop inspection
- Automated visual inspection of injectable drugs
- BMW AIQX inspection
Every network that offers it
- Character.AI crisis-safety stack
- Checkr's automated background-check platform
- Cigna's PxDx post-service claim review
- Cleveland State remote proctoring
- CNET AI-drafted articles
- Community Notes on X, formerly Birdwatch on Twitter
- Credit Acceptance's net-collections Score, inside CAPS
- CrimSAFE criminal-record tenant screening
- Dave ExtraCash (CashAI)
- DPD customer-support chatbot
- Earnest AI underwriting
- Enova's CashNetUSA and NetCredit loan servicing
- Equifax's Online Model Server
- EviCore by Evernorth prior-authorization screening
- Family-Match (Adoption-Share)
- Fraud false positives that froze real accounts
- Gaggle Safety Management
- Gated coding-assistant rollout at a regulated bank
- Gladsaxe model
- Google's child-safety detection and account enforcement
- Hackney / Xantura Early Help Profiling
- HireVue's video interview and assessment platform
- IBM Watson for Oncology
- ID.me identity verification
- Illinois DCFS Augintel
- Illinois Rapid Safety Feedback
- Indiana / IBM eligibility modernization
- Insight Bristol / Think Family Database
- INSS automated benefit analysis
- Intuit's recorded video assessment for promotion
- LA's coordinated-entry triage revision
- Los Angeles County Project AURA
- Medicaid unwinding ex-parte renewals
- Meta's cross-check secondary review programme
- Michigan MiDAS
- Michigan MiDAS
- Netherlands childcare-benefits scandal (Toeslagenaffaire)
- nH Predict Utilization Review
- NYC MyCity business chatbot
- Oportun Financial Corporation's legal-collections pipeline
- Oregon Safety at Screening
- Practice Fusion Pain CDS
- Predict-Align-Prevent
- pymetrics Soft Skills Platform cooperative audit
- RealPage revenue management
- Robodebt (Australia)
- Robodebt (Australia)
- SafeRent Tenant Screening Score
- San Jose's camera car
- Santander Consumer USA's loss forecasting score
- Sirius XM Radio's iCIMS-based applicant screening
- Sports Illustrated AI bylines
- SSA 800-Number Conversational AI Assistant
- Tennessee TennCare TEDS
- Tessa chatbot replacing the NEDA eating-disorder helpline
- The Digit automated-savings tool, or Oportun Set & Save
- The Sama Nairobi content-moderation workforce for Meta
- The same AI running hands off: the agentic office
- TransUnion OFAC Name Screen
- United Behavioral Health's Level of Care Guidelines
- US Birth Match
- What Works for Children's Social Care ML pilots
- Wikipedia's edit-scoring service (ORES, now Lift Wing)
- Wisconsin DEWS
- Workforce Australia Targeted Compliance Framework
- YouTube Covid-19 enforcement
- YouTube's Content ID copyright matching system
The evidence behind its effects
The Lab cites no claim from the evidence registry for this lever's effects. The Lab's authors set the direction and size of each effect.