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AI Transformation Library

See how AI changes the work.

105 real-world cases. What changed, what improved, and where people still decide.

10 cases

1–10

CaseIndustryFunctionTypeAI valueBefore → AfterEvidenceOpen
An editorial scene for Capital Region of Denmark mammography screening programme contrasts acquires four-view full-field digital mammograms under danish screening guidelines. with assigns an examination malignancy score (1–10) and, for higher-risk exams, lesion marks. in the ai-triaged single versus double reading of screening mammograms (transpara) workflow.Capital Region of Denmark mammography screening programmeHealthcareHealthcare screeningExceptions only33.5% fewer radiologist screening readsHandle allExceptionsverified evidenceverified
An editorial scene for Johns Hopkins Children's Center / Johns Hopkins Medicine contrasts refers youth to an external eye-care provider with scripted education and a paper guide. with captures two fundus images during the routine endocrinology visit without pharmacologic dilation. in the autonomous ai diabetic eye exam at point of care (access rct; lumineticscore/idx-dr) workflow.Johns Hopkins Children's Center / Johns Hopkins MedicineHealthcareHealthcare screeningMoved to the visitEye-exam completion: 22% → 100% in the control armSeparate visitIn the momentverified evidenceverified
An editorial scene for The Permanente Medical Group contrasts conducts the visit while taking notes or reconstructs the encounter afterward. with transcribes the encounter without retaining audio and generates a draft clinical note. in the ambient ai draft-note generation during patient encounters workflow.The Permanente Medical GroupHealthcareHealthcare screeningCreator to judge3,442 physicians used the tool in 303,266 encounters; 968 used it in at least 100 encounters.CreateReviewverified evidenceverified
An editorial scene for UCLA Health contrasts conducts the visit and writes the note in the ehr. with records the conversation and generates a draft note. in the randomized deployment of dax and nabla ambient ai scribes workflow.UCLA HealthHealthcareHealthcare screeningCreator to judgeNabla arm fell from 4:30 to 3:49; a 9.5% greater reduction than control.CreateReviewverified evidenceverified
An editorial scene for Deutsche Bahn contrasts physically walks around and climbs onto trains to inspect for damage. with capture exterior, underbody, and roof imagery as the train enters the plant. in the e-check camera-gate, ai diagnostics, and robotic inspection workflow.Deutsche BahnTransportation & logisticsHealthcare screeningIntake redesignedOne and a half hours with the digital E-Check; camera-gate traversal takes about five minutes.FormsDescribereported evidencereported
An editorial scene for German organised mammography screening programme (PRAIM implementation study; 12 sites) contrasts independently double-read four-view mammograms without ai predictions. with tags confident-normal cases and fires a localization safety net when humans call suspicious cases normal. in the ai-supported double reading with normal triaging and a post-read safety net (vara mg) workflow.German organised mammography screening programme (PRAIM implementation study; 12 sites)HealthcareHealthcare screeningAutonomous + backstop6.70 per 1,000 in the AI-supported group; +17.6% (95% CI +5.7% to +30.8%) after overlap weightingManualAutonomousverified evidenceverified
An editorial scene for United Kingdom Serious Fraud Office contrasts reads documents to identify material potentially covered by legal professional privilege. with screen privilege content, categorize files, identify patterns, and remove duplicates. in the ai legal-privilege screening and investigative document analysis workflow.United Kingdom Serious Fraud OfficeGovernment & public servicesHealthcare screeningCreator to judgeThe pilot processed up to 600,000 documents per day, described as 2,000 times faster.CreateReviewverified evidenceverified
An editorial scene for Allegheny County DHS contrasts receives an eligible general protective service referral and reviews allegations and available county records. with uses administrative data to produce a 1–20 future-placement risk score for eligible referrals. in the afst risk-assisted investigation screening workflow.Allegheny County DHSGovernment & public servicesHealthcare screeningExceptions onlyImproved identification and modest reduction in racial disparity in case openingsHandle allExceptionsverified evidenceverified
An editorial scene for Tempus AI TIME / TriHealth Cancer Institute contrasts screens available patients against non-time trial criteria and confirms possible eligibility. with re-runs eligibility searches when patient data or trial criteria change and produces candidate matches. in the population-scale matching with rapid activation workflow.Tempus AI TIME / TriHealth Cancer InstituteHealthcareHealthcare screeningCreator to judge37 days TIME; 80% reductionCreateReviewverified evidenceverified
An editorial scene for Google DeepMind contrasts select candidate structures and run high-cost stability calculations. with predict energies and identify candidate stable structures at large scale. in the gnome graph-network crystal stability discovery workflow.Google DeepMindScience & researchHealthcare screeningContinuous decisioning2.2 million structures stable relative to prior work; 381,000 entries on the updated convex hullPeriodicContinuousverified evidenceverified
Transformations | Brian Letort