Canada’s push for enterprise AI received a major boost as Lightworks, Scotiabank, Sun Life, and TELUS announced the launch of the AI Consortium, a collaborative initiative designed to develop shared AI governance infrastructure for regulated industries.
Rather than building AI control systems independently, the consortium will jointly develop critical infrastructure that enables organizations to deploy artificial intelligence securely, responsibly, and at scale while maintaining ownership of the technology they create.
Building AI governance together
As enterprises expand their use of AI, managing thousands of AI models, autonomous agents, and complex workflows has become increasingly challenging.
The AI Consortium aims to solve this problem by creating standardized governance and operational frameworks that can be deployed across multiple organizations operating in highly regulated sectors such as banking, insurance, and telecommunications.
Technology company Lightworks, which specializes in enterprise AI deployment, will serve as the consortium’s managing founding member and lead technology builder.
Agentic control plane already in production
At the center of the initiative is the Agentic Control Plane (ACP), an enterprise AI management platform that is already operational across consortium members.
The platform provides centralized visibility and control over AI models, autonomous agents, users, and inference pipelines, allowing organizations to monitor and govern AI systems from a single layer.
According to the consortium, the ACP currently manages more than two trillion AI tokens every month, making it one of Canada’s largest enterprise AI governance deployments.
A New model for enterprise AI development
Unlike traditional software partnerships where companies license technology from vendors, consortium members are jointly developing intellectual property while retaining perpetual ownership and deployment rights.
This “build together, own separately” approach allows each organization to customize and deploy the shared infrastructure independently without becoming dependent on third-party AI vendors.
The strategy is intended to strengthen Canada’s technological sovereignty by ensuring critical AI infrastructure remains under domestic control.
Supporting Canadian AI sovereignty
Beyond governance, the consortium has outlined additional initiatives focused on strengthening Canada’s AI ecosystem.
Planned projects include an AI Operations Center for monitoring model performance, operational efficiency, and infrastructure costs, as well as an AI Token Exchange designed to provide access to sovereign Canadian AI compute resources instead of relying primarily on foreign cloud providers.
The broader objective is to reduce dependence on international hyperscalers while building Canadian-owned AI capabilities.
Cross-industry collaboration
Although the founding members operate in different industries, they share similar regulatory requirements and AI governance challenges.
By pooling engineering resources, research, and development efforts, the consortium expects to accelerate innovation while significantly reducing duplicated costs across participating organizations.
The consortium is also open to welcoming additional large enterprises that face similar operational and regulatory complexities.
As AI adoption accelerates across regulated industries, governance and operational control are becoming as important as the models themselves.
Canada’s AI Consortium represents a shift toward collaborative infrastructure development, allowing major enterprises to jointly build the foundational systems needed for secure, compliant, and scalable AI deployment.
If successful, the initiative could establish a new model for enterprise AI governance one that prioritizes shared innovation, domestic ownership, and long-term technological sovereignty.
