MOT testing by British Department for Transport

Public sector United Kingdom of Great Britain and Northern Ireland

Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases European Commission, Joint Research Centre (JRC). Public Sector Tech Watch latest dataset of selected cases. 2023. European Commission. Available at: https://data.jrc.ec.europa.eu/dataset/e8e7bddd-8510-4936-9fa6-7e1b399cbd92. (Accessed March 2025).

The British Department for Transport utilized AI and clustering techniques to enhance MOT testing. By analyzing data from 66,000 testers and 40 million tests, the Driver and Vehicle Standards Agency (DVSA) pinpointed high-risk garages for more focused inspections. This improved compliance monitoring, reduced preparation time by 50%, and led to more effective disciplinary actions. The model is updated quarterly.

Monitoring and Control

AI tools in this category are used for enhancing transparency, access to information, compliance monitoring, and ensuring regulatory adherence. These applications help in real-time monitoring of various public sector activities and services.

#analyze Use AI to analyze large datasets, uncover trends, and identify patterns that help optimize decision-making in complex processes.

#automate Automate repetitive tasks to reduce manual effort, enhance accuracy, and accelerate workflows, increasing overall productivity.

#monitor Continuously monitor ongoing activities or systems to ensure compliance, identify issues early, and improve operational efficiency.

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Developed by: Public Sector
Deployment Type: Cloud-Based AI Service & API
Community Moderation: Does not require community manager
Difficulty Level: Does not require developer
License: Proprietary

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