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brianletort.aiD. Brian Letort, Ph.D.

AI Transformation Library

See how AI changes the work.

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

CardsTable

6 cases

1–6

CaseIndustryFunctionTypeAI valueBefore → AfterEvidenceOpen
An editorial scene for Rising Academies schools contrasts attends normal math classes and studies with available static materials or limited human support. with uses a school-provided phone for two weekly whatsapp tutoring sessions during study hall. in the rori ai math tutoring through whatsapp workflow.Rising Academies schoolsEducationEnrollmentCreator to judgeTreatment growth was significantly higher with effect size 0.36 (p<0.001), described as roughly an extra year of learning.CreateReviewverified evidenceverified
An editorial scene for Boston Public Schools contrasts build and maintain routes manually for each school over multiple weeks. with generates district-wide student stops, route sequences, and multi-school bus reuse in about 30 minutes. in the bird system-level school-bus route optimization workflow.Boston Public SchoolsEducationEnrollmentCoordination compressed50 buses removed in the first implementation year and about $5 million saved, with average ride time remaining about 23 minutesSequentialTogetherverified evidenceverified
An editorial scene for Sixty-eight English secondary schools in the EEF Teacher Choices trial contrasts creates questions, quizzes, activities, and differentiated resources without generative ai. with uses an implementation guide and prompts the model for questions, quizzes, activity ideas, or tailored materials. in the teacher-controlled chatgpt lesson planning with implementation guide workflow.Sixty-eight English secondary schools in the EEF Teacher Choices trialEducationEnrollmentStep before the decision56.2 minutes in the ChatGPT group, 25.3 minutes or 31% lower.PrepareDecideverified evidenceverified
An editorial scene for Georgia State University contrasts track multiple enrollment requirements and seek help when a task or deadline is unclear. with use university records to send task-specific deadline reminders and offer help. in the pounce summer-melt support workflow.Georgia State UniversityEducationEnrollmentExceptions onlyStudents assigned to Pounce were 3.3 percentage points more likely to enroll on time, equivalent to a 21% reduction in summer melt in the peer-reviewed study.Handle allExceptionsmixed evidencemixed
An editorial scene for Edo State schools / World Bank study contrasts continues business-as-usual classes and study without the six-week after-school intervention. with completes curriculum-aligned english, ai, and digital-skills activities in twelve 90-minute lab sessions. in the teacher-facilitated gpt-4 tutoring workflow.Edo State schools / World Bank studyEducationEnrollmentCreator to judge0.310 SD weighted total score; 0.238 SD English skills (abstract reports 0.23; narrative rounds to 0.24)CreateReviewverified evidenceverified
An editorial scene for Large US health system / Optum algorithm contrasts has a limited number of intensive nursing and coordination slots to allocate. with ranks patients by predicted future cost as a proxy for health need. in the commercial cost-proxy risk ranking workflow.Large US health system / Optum algorithmHealthcareEnrollmentQueue elimination46.5% if ranked by actual health needWaitingFlowverified evidenceverified
Curated collections →Evidence methodologyPublication history
Transformations | Brian Letort