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Government work runs on information: applications, forms, case notes, policy documents, emails and questions from the public. AI is beginning to change how public servants handle that information—and, in turn, how they spend their time.

Canada’s federal AI strategy identifies routine task support and workforce productivity as opportunities. In everyday administrative work, that could mean sorting incoming requests, finding relevant guidance, summarizing long files, extracting details from forms or preparing a first draft of a response. These tools can help staff move through repetitive steps more quickly, leaving more time for complex cases and conversations that need care and judgment. The federal AI strategy describes this as one way to improve efficiency and service.

That potential comes with a practical caveat: a faster workflow is only useful if it is accurate, secure and fair. AI can miss context, reproduce bias in its data or produce a polished answer that is still wrong. Public servants need to check the work, protect personal information and know when a file calls for human attention. AI can assist with administration; responsibility for serving the public still rests with people and institutions.

The stakes rise when a system helps assess a person’s case or contributes to an administrative decision. The federal Directive on Automated Decision-Making requires departments to assess the impact of systems used in production for decisions or related assessments about clients. It is designed to support transparency, accountability and procedural fairness.

This shift also changes the work itself. Staff may spend less time moving information between systems and more time checking summaries, resolving exceptions and explaining decisions. That calls for training, clear roles and opportunities for employees to help shape how tools are introduced. Canada’s AI strategy lists talent and training, governance, and transparency among its priorities. Its consultation findings also reflect public interest in inclusive design and responsible use.

The measure of success should not be how many tasks an algorithm can take over. It should be whether people get timely, understandable service—and whether public servants can focus their expertise where it matters most. Used carefully, AI could make the administrative machinery of government less cumbersome while keeping human judgment at its centre.