AI has created a new mandate for CFOs: Elevate your role as strategic leaders. Yet the biggest obstacle isn’t technology—it's culture.
Hannah Wren
Senior Editorial Strategist
Workday
More than ever, AI is embedding intelligence directly into core finance workflows, giving CFOs the speed, scale, and real-time visibility to move beyond generating historical reports to driving business strategy.
This shift is already underway: 57% of finance leaders say they’re now among the top leaders influencing strategy development across their organization. Executive teams and boards aren’t just looking to CFOs to report on the business anymore—they’re asking them to help decide where it goes next.
But succeeding in this new era requires more than technology. Real transformation demands a culture shift, one that embraces uncertainty and weighs probabilistic, AI‑driven insights alongside traditional measures of accuracy and control.
57% of finance leaders say they’re now among the top leaders influencing strategy development across their organization.
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Today's CFOs are caught between two identities: the traditional steward of financial accuracy and the strategic leader their organizations increasingly need them to be. That tension is growing—and it has a cost.
On the one hand, finance is still largely measured by hard-deadline reporting and the accuracy of its figures, not how effectively it prepares the business for what’s next. Many finance leaders still operate within structures and performance models built for a deterministic world, where the job is to deliver exact answers in a predictable environment.
At the same time, the CFO role is evolving quickly. CFOs are being asked to lead through uncertainty, shape business strategy, and embrace AI-driven decision-making.
According to FTI Consulting’s CFO Survey, uncertainty has become a defining condition of today’s economy, with leaders citing geopolitical conflict (84%), cybersecurity (82%), inflation (83%), and regulatory changes (78%) as growing year-over-year concerns.
“Uncertainty has always been part of the job description for finance leaders, but a new level of agility is required to meet today's ever-changing environment,” says Workday CFO, Zane Rowe. “Our role is to anticipate when change is coming, steady the business, and use data and governance to turn those inevitable market swings into smart decisions and a distinct competitive advantage.”
AI is making that strategic opportunity impossible to ignore. AI agents are probabilistic by nature, built to navigate ambiguity and evaluate possible outcomes, rather than deliver single definitive answers. This is a hard shift for a culture that has long rewarded being right.
The CFOs who lean into probabilistic, AI-led thinking now will be the ones who make their contributions more strategic and their companies more resilient in the future. But without that pivot, the strategic CFO remains nothing more than a rebrand: a new title without the organizational change needed to make it meaningful.
Uncertainty has always been part of the job description for finance leaders, but a new level of agility is required to meet today's ever-changing environment.
Zane Rowe, Workday CFO
Why do so many CFOs still find themselves confined to the scorekeeper's seat? Three barriers stand out:
Even as CFOs increase their partnership with leaders across the business, they still spend an enormous amount of time pulling together data from disconnected systems. Nearly 60% of C-suite leaders surveyed by Workday say their data is still somewhat or completely siloed.
In this environment, continuous forecasting and faster decision-making are difficult to stand up, let alone sustain. It also limits what AI agents can do because they can’t see the full operational picture when the data they need is scattered across different tools.
What’s more, siloed data reflects something deeper—a finance function that has historically operated as a reporting unit rather than a strategic partner, optimized for control over collaboration.
Too many finance teams still spend a large portion of their week on recurring operational work: reconciliations, accruals, variance checks, reporting preparation, and error correction.
These processes are essential, but they consume the time and attention required for deeper analytical work. In many cases, even with AI tools in place to automate and accelerate financial tasks, teams are losing up to 40% of their time to checks and rework.
Over time, this impacts more than just productivity—it shapes finance culture and impacts the talent within it. Teams become exceptionally skilled at maintaining accuracy and process discipline, but they have limited opportunity to build muscles around strategic analysis, judgment, and storytelling with data.
CFOs want their systems and processes to be able to adapt and grow as conditions change, but they can’t do that unless they trust their foundational controls and risk mitigation practices.
When confidence is shaky, the default is caution—especially in an increasingly autonomous and agentic finance function.
“If leaders aren’t confident new systems will hold up to the same accuracy and compliance standards, they will avoid using AI in higher-stakes decisions,” says Rowe.
At the same time, many organizations pour energy into the technical and operational side of modernization, while underinvesting in cultural steps. They focus on new tools and integrations rather than making sure employees have the right training, communicating about new capabilities and risks, and building the kind of trust that lets teams move with confidence instead of hesitation.
If leaders aren’t confident new systems will hold up to the same accuracy and compliance standards, they will avoid using AI in higher-stakes decisions.
Zane Rowe, Workday CFO
Too often, barriers to finance transformation are approached as a technology initiative. Organizations invest in new platforms, automation capabilities, and AI tools with the expectation that better technology will naturally create a more strategic finance function.
But technology can only accelerate the culture that already exists. It’s one of the main reasons why, according to Deloitte research, less than a third of finance teams that have fully deployed AI say it’s delivering clear, measurable value.
For CFOs to become true strategic partners, they must be able to operate in an environment where judgment, adaptability, and scenario-based thinking are valued alongside accuracy and control. At the same time, they must build a culture that embraces AI and agents as core parts of how finance will operate in the future.
This doesn’t change overnight. It requires executive teams, boards, and finance leaders to rethink how performance is measured and decisions are made. But without an updated cultural foundation, even the most sophisticated AI investments will struggle to deliver on their promise.
Increasingly, CFOs are required to be strategic figureheads for their organizations. Learn how the FAME framework can help you achieve your business goals, with case studies from two enterprise-level organizations.
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