KPMG Canada continues to grow its investments and capabilities in agentic AI with new innovation labs, executive education programs, a digital twin platform and applied research, enabling the firm to deliver more impactful solutions for Canadian organizations.
“As a technology-first firm, we are constantly innovating, implementing and scaling new advancements in AI and other emerging technologies so we can better support Canadian organizations and set them up for success,” says Stephanie Terrill, Canadian Managing Partner of Digital and Transformation at KPMG Canada.
“These investments strengthen our ability to deliver better outcomes that improve productivity, reduce complexity and unlock new opportunities for Canadian organizations. Our commitment to innovation also ensures our people have the skills and tools to thrive in a shifting economy.”
The expansion of KPMG’s agentic AI offerings includes the launch of four AI Labs. These are secure, platform-agnostic sandboxes where KPMG professionals will collaborate with clients to design AI solutions and then build and test them in weeks instead of months. The AI Labs are designed to help clients re-imagine new workflows and identify where AI agents can take on research, coordination, and decision support. Part of KPMG’s agentic AI suite of services, they will allow clients to:
- Experiment with leading and frontier AI models in a safe, controlled and independent network environment with secure guardrails.
- Build AI fluency through hands-on workshops including: Agentic Thinking, Agentic Building and Agentic Leading.
- Ideate and create AI agents for practical business applications.
AI Labs will initially open in Toronto, Vancouver and Calgary with Montreal to follow.
KPMG’s agentic AI suite of services helps organizations design, build, and manage agent‑based AI programs. This blend of strategy and technical expertise enables clients to move beyond pilots and realize measurable results. As operations scale, AI agents work alongside people to execute business tasks. In a customer service setting for example, an AI agent can handle a common billing issue from start to finish by understanding the customer’s inquiry, reviewing account details, identifying the issue, applying the correct resolution and completing the transaction with the customer in real time.