AI in Canada

Alberta's Ministry of Technology and Innovation used Anthropic Claude Code with Opus and Sonnet models to scan 466 million lines of code across 1,280 provincial applications in 20 hours, surfacing security vulnerabilities that would have taken an estimated 6.5 years to find manually. The same internal team is now using Claude to fix vulnerabilities, modernize legacy systems (one ministry consolidating 185 legacy apps into 16), and run continuous security review agents. First-party source: Anthropic, published July 6, 2026 alongside Alberta's 21-document Velocity White Papers.

Mirabel-based charter airline Nolinor Aviation partnered with Mila in late 2023 to apply an LLM plus an agentic retrieval layer to aviation safety reporting, reducing the human effort required to produce a full investigation report by up to 80% and cutting manual investigation time from 40 hours to 5 hours per case.

Haven Greens is Canada's first fully automated AI-powered vertical greenhouse, using 25+ machine learning algorithms for climate control, harvesting, and grading to grow kale, basil, and microgreens year-round in Markham, Ontario.

TD Bank Group deployed its first AI agent in January for residential mortgage decisions, completing loan application review in minutes instead of the 15 hours typically required by human underwriters, with $826 million in U.S. residential mortgage origination volume in 2025.

London Hydro in Ontario, Canada ran a 1-year OEB-funded pilot with 1,793 customers using Rainforest EAGLE-200 gateways and OpenADR for automated demand response — achieving up to 47% drop in electrical demand during 36 peak events in summer 2018.

Chevron partnered with OPX Ai to deploy an AI-driven Integrated Operations Center as a Service (IOCaaS) at the Kaybob Duvernay Formation in Alberta, Canada. The system monitors gas wells, compressors, and facilities using self-learning AI models and edge microservices, enabling exception-based management. Engineers shifted from reactive firefighting to proactive surveillance, with rapid identification of production anomalies. The deployment, phased over 12 months starting in 2020, integrated field SCADA data, real-time wellhead pressures, and maintenance work orders into cloud-based AI analytics, reducing manual monitoring and improving operational decision speed.

FLO, one of Europe's largest footwear retailers with 800+ stores across 25 countries and 11,000+ employees, deployed invent.ai's AI-driven inventory optimization platform to address chronic overstock and out-of-stock problems. Built on AWS infrastructure, the solution provides real-time demand forecasting at SKU-store-day granularity, a financial optimization engine for allocation and markdown decisions, and an agentic AI module for size-level pack customization. Since implementation, FLO has reduced lost sales by 12%, grown revenue by 4.7%, raised product availability from 71% to 94%, and cut out-of-stocks from 15% to 3%.

Scotiabank launched Scotia Intelligence, a programme bringing the bank's internal AI tools, platforms, and governance under one structure. The move formalises work already underway across the bank, where AI tools are being used in contact centres, commercial banking, and digital banking. The framework is intended for employees and clients across Scotiabank's global operations.