KPMG Canada expands agentic AI with labs, training and digital twins
KPMG Canada is turning agentic AI into day-to-day delivery infrastructure, with four labs, training and digital twins reshaping how teams scope, test and oversee work.

KPMG Canada is pushing agentic AI deeper into client delivery, a move that will change what consultants, auditors and advisory teams do every day. The firm said its newest expansion centers on four AI labs, executive education, a digital twin platform and applied research, all aimed at helping organizations move from AI ideas to real-world results.
For employees, the practical shift is less about a flashy product launch than about how work gets done. The four labs are designed as secure, platform-agnostic sandboxes where teams can design, build and test AI-driven solutions with clients before committing to full deployment. That means more time spent validating workflows, checking controls and deciding where an AI agent can act on its own, and where a human still needs to sign off. In a firm built around trust, that oversight work is likely to become a bigger part of the job.
The announcement also extends a line of investment KPMG Canada has been building since it launched its Agentic AI Engine in Canada on April 29, 2025. The engine was meant to power development of agentic AI solutions, support research and development, and enable deployment of digital agents across KPMG platforms, services and solutions. The firm later added another piece on May 26, 2025, when it acquired the assets and technologies of LlamaZOO Interactive to strengthen its digital twin capabilities.
That digital twin work matters because it changes the kind of deliverables KPMG staff can show clients. KPMG says its digital twin and spatial computing practice creates immersive, interactive models of physical assets, operations and environments, where human operators and AI agents can collaborate, experiment and evolve. For consultants, that means more time spent translating business problems into simulated scenarios, and less time selling abstract AI ambition. For auditors and risk teams, it raises the bar on governance, documentation and testing.
KPMG is also leaning on training to keep up with the pace of change. Its executive, board and governance education programs are meant to help leaders handle AI-related challenges with agility. That is a signal to KPMG staff, too: professionals who can explain AI tradeoffs, surface risks early and guide clients through controls will be more valuable than people who only know how to pitch the technology.

The timing fits the market KPMG says it is seeing. In April 2025, the firm surveyed 252 business leaders and said most planned near-term investments in agentic AI. In May 2026, it reported that 306 executives saw AI as a top investment priority and agentic AI as increasingly central to workforce planning. For KPMG Canada, the message is clear: agentic AI is no longer a side experiment. It is becoming part of the firm’s standard toolkit, and the people who can work with it will shape the next round of client delivery.
Know something we missed? Have a correction or additional information?
Submit a Tip
