Financial planning and analysis teams are expanding their influence while balancing cost pressures, growth ambitions and the rapid rise of AI.
Financial planning and analysis teams are expanding their influence while balancing cost pressures, growth ambitions and the rapid rise of AI.
Hard-won advances in core financial planning and analysis (FP&A) activities — such as digitized planning, streamlined reporting and the use of predictive analytics — have made FP&A the CFO’s “right hand.”
CFOs expect FP&A not only to deliver sharper cost discipline, but also to enable growth investments, creating a strategic tension that puts FP&A at the center of critical business decisions. To stay relevant and justify continued investment, FP&A must elevate its role: leading cost optimization efforts, embedding cost acumen across the organization and leveraging technology and AI to deliver faster, more actionable insights in an increasingly complex decision landscape.
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Advancements in FP&A’s technological capabilities, especially in AI, create the opportunity to set the business on a far better performance trajectory — enabling business decision makers to see around corners and giving them the confidence to act quicker. However, Gartner’s 2026 CFO survey reveals a growing tension: cost optimization remains a dominant priority, but more CFOs are shifting toward growth investments, and confidence in technology and talent-driven initiatives is waning. FP&A leaders must help organizations hold the line on costs and cash while enabling investments that drive top-line outcomes.
FP&A must be able to scale impact to the majority of organizational decision makers. This means operating less like a head of consulting and more like a manager of finance’s analytics products. It means prioritizing the reach and organizational impact of FP&A’s decision and planning support over team recognition and in-person influence. And scaling impact through technology means FP&A’s influence is less visible than when it was directly involved, but with greater reach and impact.
The shift to a primarily digital model may cause apprehension for FP&A at first. But the traditional in-person business partnering model has limits, and to reach the decision-making community beyond the C-suite and senior business executives, FP&A must position itself as the leader of a digital-first enterprise capability.
While leadership skills such as planning processes, communication and influence, and D&A knowledge have always been important for FP&A, the drastic change in the function requires additional critical competencies. AI is no longer just an efficiency play, it’s a strategic lever for planning and decision making. FP&A leaders should focus on high-value AI use cases that complement human efforts, such as identifying cost drivers and decision points that are diagnosis-resistant. The good news is that FP&A leaders’ existing experience and skills translate well to the new vision.
Knowledge of FP&A software from previous implementations can help with assessing the adequacy of FP&A’s current technology. Years of accumulated D&A experience provide a strong foundation to develop a baseline knowledge of data science. And intimate knowledge of issues that come up during planning provides a foundation for identifying which currently underserved decisions would benefit the most from tools.
To broaden reach, effect change and achieve common goals, FP&A leaders need to build technology- and data-oriented relationships with senior leaders inside and outside the finance function. These include productive relationships with IT for tool building, with business decision makers to transition to tool-based support, with vendors to build digital acumen, and with the controller and other data stewards to ensure consistency of financial information.
Radical changes to functions, mindsets, competencies and relationships don’t happen overnight. To ease the transition from human-centric to tool-based support, CFOs can help FP&A leaders make or reinforce connections with senior executives, GMs and the CIO or CDAO (chief data and analytics officer).
Meanwhile, FP&A can deepen its understanding of the technology and AI landscape, maximize the potential of existing technologies by engaging experts to identify unused capabilities, and incorporate digital skills development into staff performance reviews.
FP&A can transform financial planning and analysis into a business advantage by leveraging technology to broaden its reach and impact. This involves adopting a digital-first approach, treating FP&A as an enterprise capability and using advanced tools to deliver insights across the organization. By doing so, FP&A can help decision makers anticipate challenges and act swiftly, enhancing the enterprise’s competitive edge.
FP&A leaders should focus on developing digital leadership and delivery skills. This includes understanding advanced technologies like AI and ML, managing digital product portfolios and building relationships with IT and data teams. These competencies will enable FP&A leaders to effectively deliver planning insights and decision support through technology, maximizing their team’s impact.
Building technology- and data-oriented relationships is crucial for FP&A to extend its influence and support throughout the organization. By collaborating with IT, business decision makers, and vendors, FP&A can integrate technology into decision support tools, ensuring consistent and reliable financial information. These relationships help FP&A leaders drive change and achieve common goals, enhancing their role as strategic partners.
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