What it is
A team sets up monitoring when a system launches, when attention is highest. Months later the people who set it up have moved to other work, and the monthly review has become an occasional one. The screens still show numbers, so everyone assumes that someone is watching.
What it pushes on in the Lab
In the Lab, this pressure lowers the engagement of deployment authority, which is whether someone with real power to change or halt the deployment watches it on a regular schedule. It also amplifies the failure regime, pushing the network toward failures that cascade rather than correct themselves.
Who feels it
Nobody feels it at first, and that is what makes it dangerous. The clients feel it when a worker acts on an error that a working review would have caught.
What answers it
An answer has to restore a real review schedule, stop the system when its alarms fire, or correct drift before it compounds. Each lever below does at least one of these.
Levers in the Lab that push the other way on something this pressure pushes on:
- Pause AI on alarmsPattern:Deployment circuit-breaker
- Review on schedulePattern:Oversight cadence & retrospectives
- Gate vendor updatesPattern:Vendor quality gate
- Incident loop
The list leaves out levers the Lab has retired, levers it keeps as counter-examples, and any lever no network offers.
Where it starts switched on
Networks in the Lab that start with this pressure switched on:34
- Accelerated Safety Analysis Protocol (ASAP Tool)
- Advance Alert Monitor (AAM) deterioration model
- Amazon fulfillment-centre productivity discipline
- Amsterdam Smart Check
- Aon's three-instrument pre-hire assessment suite
- Checkr's automated background-check platform
- Cigna's PxDx post-service claim review
- Citi Retail Services Judgmental Review
Every network that starts with it switched on
- Colorado Family Safety and Risk Assessments
- Community Notes on X, formerly Birdwatch on Twitter
- Credit Acceptance's net-collections Score, inside CAPS
- CVS Health's Massachusetts applicant video-interview screen
- Enova's CashNetUSA and NetCredit loan servicing
- Family-Match (Adoption-Share)
- Illinois DCFS Augintel
- Intuit's recorded video assessment for promotion
- IRS collection chatbots
- iTutorGroup Tutor Application Screen
- M-Shwari & Kenya's Digital Credit Market
- McHire, McDonald's franchise hiring platform
- Meta employment-ad targeting and delivery optimization
- Meta's cross-check secondary review programme
- Navy Federal mortgage underwriting
- Oportun Financial Corporation's legal-collections pipeline
- Practice Fusion Pain CDS
- Predict-Align-Prevent
- pymetrics Soft Skills Platform cooperative audit
- Sirius XM Radio's iCIMS-based applicant screening
- The Sama Nairobi content-moderation workforce for Meta
- Upstart lending model
- US Birth Match
- Viz.ai LVO Stroke Triage
- Wikipedia's edit-scoring service (ORES, now Lift Wing)
- X Multilingual Hate-Speech Enforcement
The evidence behind its effects
The Lab cites no claim from the evidence registry for this pressure's effects. The Lab's authors set the direction and size of each effect.