KPMG introduced an internal dashboard to track how often employees use artificial intelligence tools; 75% utilization goal Accelerate adoption across the U.S. advisory business and benefit more staff.
As Business Insider reports, the system will allow employees to monitor their own AI usage, benchmark against their peers, and measure progress against internal goals. The move comes as the company pushes for more consistent and sophisticated use of AI tools across the division’s roughly 10,000 employees.
Launched late last year, the dashboard is part of a broader effort to embed AI into everyday workflows and demonstrate tangible benefits from the technology.
Dashboards turn AI adoption into measurable metrics
KPMG positions the use of AI as a performance tool rather than an optional feature. Internal trackers aggregate usage of both proprietary and third-party tools and present them in a comparative format.
Key rollout details:
- 75% utilization goal: Employees are expected to use AI for about three-quarters of their workday
- scale: Approximately 10,000 U.S. advisory employees will be eligible.
- Adoption rate: more 90% of US employees use AI weeklyaccording to the company
- benchmark: Staff can compare their usage against colleagues and internal goals
- Scope of the tool: Includes internal platforms and external tools such as Microsoft 365 Copilot
KPMG spokesperson Russ Groat told Business Insider that users who regularly use AI tend to produce higher quality work, have lower stress levels and spend more time on strategic tasks. He added that these achievements will enable faster career advancement and improved service delivery to clients.
Recruitment promotion due to personnel reduction
The dashboard’s release comes on the heels of KPMG cutting around 400 roles in its U.S. advisory business, highlighting pressure on the consulting firm to improve productivity while investing in AI capabilities.
The company is clear about its expectations. CEO Tim Walsh previously told Business Insider that widespread use of AI is “critically important” to workforce success, signaling a shift from experimental to operational reliance.
Internally, KPMG provides access to multiple AI systems, including the aIQ Chat platform, which connects employees to large-scale language models such as ChatGPT, Claude, and Gemini. We also use Digital Gateway, an AI-driven platform designed to support tax and regulatory planning.
Employees report measurement gaps
Despite the systematic rollout, some employees have expressed concerns about how accurately the dashboard reflects actual usage.
Two employees cited by Business Insider said the system was easy to manipulate and that they didn’t fully understand how the AI was actually used. One person pointed out that just doing a prompt could count as daily use, regardless of its relevance or impact.
They also pointed out blind spots. Certain developer tools, including new AI coding platforms, are not tracked in the dashboard, which may result in more advanced or specialized use cases being underreported.
One employee said automating after-hours prompts can artificially inflate usage metrics, calling into question how meaningful the data is as a productivity signal.
Companies race to quantify AI benefits
KPMG’s approach reflects a broader trend across the corporate and consulting sectors where companies are under pressure to demonstrate tangible returns from AI investments.
Business Insider reports that several large companies have similar tracking systems in place.
-
JPMorgan Chase monitors how developers use AI tools like GitHub Copilot and Claude and ranks engineers by usage.
-
Walt Disney Company tracks employee AI activity, including frequency and token generation
-
Amazon measures how often AI tools are incorporated into engineering workflows and whether they deliver results
These systems represent a shift from anecdotal benefits of AI to quantifiable metrics tied to productivity and performance.
KPMG claims its approach is designed to encourage rather than force action. Alongside the dashboard, the company has introduced initiatives such as the AI Spark Innovation Awards, offering financial incentives to employees who demonstrate creative applications of AI.
The company also collaborated with the University of Texas at Austin to study how employees can derive more value from AI tools. According to Grote, this research suggests that effective users treat AI as a collaborative partner rather than a basic task automation tool.
