Alberta released open-source white papers on its 18-month AI overhaul. Anthropic's Claude reviewed 466M lines of code in 20 hours. The blueprint is free for other governments.
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The Government of Alberta released a set of technical white papers Monday outlining how the province used AI tools from Anthropic and Google to overhaul its digital systems. Dubbed The Velocity Papers, the collection is open-source and free, with step-by-step engineering instructions.
The white papers cap an 18-month refurbishing of Alberta's Ministry of Technology and Innovation. A team of AI agents built with Anthropic's Claude reviewed more than 466 million lines of code in 20 hours for errors and vulnerabilities. Alberta's own estimate says a human-led equivalent would run more than six years and cost north of $2 billion.
Inside the ministry, staff built a set of in-house government AI tools to modernise, secure, and audit digital infrastructure. Those tools, not the vendor APIs that powered them, are what got released. The Province calls the package a roadmap other governments and Canadian small- and medium-sized enterprises can replicate.
Cole Cioran, a managing partner with IT advisory firm Info-Tech Research Group, said the papers represent the first defensible in-production blueprint for an agentic public service. Their release as open source is a windfall for any Canadian SME looking to build that same agentic advantage, Cioran said.
Alberta has spent the last several years positioning itself as a jurisdiction friendly to AI investment, accepting data centre applications and encouraging public servants to adopt AI tools. Anthropic itself promoted the province's work as a case study for other governments.
The timing was convenient for Anthropic. The US government briefly froze foreign access to the company's latest models shortly before Alberta's release. Showing a Canadian government already running production Claude agents softened that narrative for the company.
The white papers include engineering specs for code review, vulnerability scanning, and system redundancy. They do not include the training data used in the provincial AI agents, Alberta noted in the release documents.
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