The modern executive calendar is a game of Tetris played with high-stakes meetings. For Christine Andrew, the Managing Director of AI Enablement at KPMG Canada, the morning routine involves navigating a schedule where double and triple bookings are the norm rather than the exception. In this environment, the ability to be in two places at once is no longer a fantasy but a functional requirement. Copilot in Teams handles the overflow, summarizing missed discussions and tracking progress in real time, allowing her to maintain a presence across multiple workstreams without physically attending every session.

The Roadmap to 12,000 Users

The transition to an AI-augmented workforce at KPMG Canada was not an overnight switch but a calculated three-year evolution. It began with a lean early access program consisting of only 40 licenses, designed to test the waters and gather raw feedback on the tool's utility. As the product matured, the firm scaled the rollout in phases, first expanding to 1,000 users in close coordination with the IT department to ensure stability and security. By 2025, the deployment reached its peak, putting Microsoft Copilot into the hands of all 12,000 employees across the organization.

This scale was made possible by the deep integration of Copilot within the existing Microsoft ecosystem, which lowered the barrier to entry for employees already familiar with the suite. However, the deployment was not merely a software installation. KPMG wrapped the tool in a rigorous governance framework, ensuring that AI usage aligned with the firm's established responsible AI and risk standards. To prevent the tool from becoming shelfware, the firm implemented a strict adoption tracking system. Usage rates are monitored weekly, and the organization encourages the sharing of high-value use cases across teams. Most notably, AI proficiency has been integrated into the corporate culture via performance management, where employees are now required to set specific AI-related goals as part of their professional development.

Shifting from Mechanics to Strategy

While the industry often frames AI as a way to reduce working hours, Andrew argues that this is a fundamental misunderstanding of the technology's value. The real shift is not the reduction of time spent working, but the reallocation of that time toward higher-value activities. In the traditional executive workflow, a vast amount of cognitive energy is consumed by the mechanics of the job: the act of drafting a plan, the manual labor of building a PowerPoint deck, and the repetitive cycle of tracking and reporting. Copilot compresses these operational stages, effectively accelerating the administrative overhead of leadership.

This compression creates a critical gap that Andrew fills with strategic depth. Instead of focusing on how to write a plan, she now focuses on how to communicate it. The time recovered from repetitive tasks is reinvested into deeper reflection on business outcomes, market trends, and emerging risks. This shift allows her to step back from the immediate flow of deliverables to ask more fundamental questions about customer needs and organizational vulnerabilities.

Beyond administrative efficiency, the tool serves as a cognitive sparring partner. Andrew utilizes Copilot Chat to stress-test her strategies, prompting the AI to act as a skeptic or a CEO with a conflicting perspective to identify gaps in her logic. During the preparation for a recent keynote, she leveraged the research capabilities of the tool to perform a detailed audience analysis, pinpointing the specific challenges and priorities of her listeners to tailor her message. By automating the low-value labor of synthesis and drafting, the firm enables its consultants to spend more time on complex problem-solving and direct client advisory.

Copilot does not shorten the workday, but it fundamentally changes what happens during those hours.