Analysis

CFOs Turn to AI and Automation to Cut Costs, Boost Demand for KPMG Advisory

CFOs are buying automation to control costs, and that is pushing more implementation, controls and finance-transformation work onto KPMG teams.

Lauren Xu··2 min read
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CFOs Turn to AI and Automation to Cut Costs, Boost Demand for KPMG Advisory
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Cost pressure is steering finance leaders toward automation, and that is changing the kind of work KPMG advisory teams are likely to sell and staff. In a survey of 200 North American CFOs, cost management ranked as the top internal risk, while 53% said automation or technology upgrades were the most proven way to control costs. That points to a market where clients want fewer slide decks and more hands-on help turning AI into savings.

The numbers also show why the demand is moving fast. Forty-nine percent of CFOs said pressure to invest in cloud and AI was shaping their cost-management plans, just ahead of shrinking profit margins at 48%. When asked which technologies mattered most, 43% picked cloud-based planning, budgeting and forecasting, 43% selected data analytics tools and 40% chose AI. Workforce reductions were not even offered as a response option, a reminder that many finance chiefs are looking for output gains, not just headcount cuts.

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Data Visualisation

For KPMG consultants, the message is not that finance modernization is a new pitch. It is that the pitch has become more operational and more urgent. Clients are asking how fast they can redesign finance functions without breaking controls, disrupting reporting or overwhelming lean teams already stretched by close cycles, budget season and audit timelines. That shifts demand toward operating-model redesign, finance transformation, managed services, process automation, data governance and AI-enabled planning.

It also changes the internal workload on advisory teams. Building an automation case is one thing; implementing it inside a client’s finance function is another. That means more demand for people who can map processes, test controls, manage data quality and prove that a new workflow actually saves money. It also means more pressure to do that work with fewer hours, since cost-cutting is the point of the exercise and CFOs are unlikely to fund open-ended transformation programs.

The survey underlines a familiar Big Four truth: technology only wins budget approval when it survives the finance committee. For KPMG staff, that means the strongest opportunities will sit where AI meets controls, reporting and measurable ROI. CFOs are not asking whether to modernize finance anymore. They are asking who can help them do it safely, quickly and cheaply enough to show savings before the next planning cycle.

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