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The Shortlist

At the Semi-Final on June 4th, eight teams presented their ideas and answered the judges’ questions.

At the judges’ meeting following the presentations, the judges selected four teams to move forward to the Final. These ideas are:

 

Language Competency Evaluation and Training Tool

Leveraging AI to enhance second-language training for public service employees, this tool provides real-time assessment, personalized feedback, and adaptive learning. By integrating databases from the Canada School of Public Service and using AI to generate customized practice questions, it allows employees to target their weaknesses efficiently. The AI tutor offers explanations and examples, reducing training costs and improving success rates on second-language evaluations.

 

Digital Twins for Smarter Infrastructure Management

The creation of a Digital Twin of the Samuel De Champlain Bridge and highway corridor will be used to monitor structural health, traffic flow, and environmental impact using real-time data. By integrating AI-powered analytics with geospatial data, this virtual model will enhance decision-making, enable predictive maintenance, and improve emergency response planning. The initiative lays the groundwork for broader applications in federal infrastructure projects, fostering innovation and intergovernmental collaboration.

 

Financial Forecasting for Government Spending

Building on successful AI-driven forecasting models used at Housing, Infrastructure and Communities Canada, this tool aims to transform financial planning across federal departments. By automating and improving Grants and Contributions forecasting, the model enhances accuracy, reduces processing time by 66%, and minimizes budget lapses—potentially saving billions in taxpayer dollars. Scalable across departments, the tool modernizes financial decision-making, ensuring smarter and more efficient government spending.

 

AI-Enabled Job Classification in the Federal Public Service

Before a federal public service job can be staffed, its salary level and occupational group must be determined through job classification — a vital but time-intensive process. This project proposes developing the AI Classification Enabler (ACE), an AI tool that leverages a repository of over 30,000 job descriptions and classification documents. ACE aims to streamline the classification process to improve efficiency while maintaining expert human oversight, enabling faster hiring and reorganization so the public service can work more effectively for Canadians. 

In a statement issued after the Semi-Final, the judging panel said: “The Public Service Data/AI Challenge helps the Government of Canada to understand and explore further opportunities to improve how we use data and AI to transform public services. I want to thank all the teams involved in the shortlisted projects – and those who worked on all the projects on the longlist – for their work in helping drive the transformation of the Government of Canada.”

For more details, read our news coverage.