AI’s Disruptive Role in Finance
Finance departments have long been considered cautious when it comes to adopting new technologies. However, artificial intelligence (AI)—especially agentic AI—is now reshaping the financial landscape in ways not seen since the arrival of spreadsheets. From automating routine tasks to enabling strategic decision-making, AI is revolutionizing financial operations and redefining the role of Chief Financial Officers (CFOs).
Historically, finance was one of the first functions to embrace personal computers. Spreadsheets changed the game, making calculations more efficient and accurate. Now, AI stands poised to bring similar disruption, freeing finance professionals from repetitive tasks and enabling them to focus on strategy and growth.
From Transactions to Strategy
Bruce Harris, Director of Financial Systems and Intelligence at Torchy’s Tacos, captures the essence of this shift: “Our agentic workflows automate the routine work, freeing our people to focus on insight, strategy, and growth.” Finance is no longer about just crunching numbers—it’s evolving into a strategic partner for business growth.
To understand this transformation, industry journalist Myles Suer spoke with three ERP experts:
- Andrew Kershaw, Group General Manager for the Office of the CFO at Workday
- Joe Preston, Vice President of Product and Design at Intuit
- Victor Alvarez, Product Marketing Manager for Joule at SAP
Their insights reveal how AI is shifting finance from a back-office function to a forward-thinking, strategic player in business innovation.
The CFO’s New Role
Kershaw emphasizes that AI agents will propel CFOs into more strategic roles. “Agents will accelerate the evolution of the CFO’s role,” he states, adding that automation will allow CFOs to focus more on growth opportunities and less on mundane tasks.
AI agents not only improve accuracy and compliance but also unlock valuable insights by analyzing vast datasets. This transition enables finance teams to engage in higher-level decision-making, supporting business objectives with data-driven strategies.
Turning Data Into Decisions
Joe Preston notes that agentic AI helps CFOs cut through the data noise. “Agentic AI identifies trends, connects and finds insights that are overlooked or hidden,” he explains. These capabilities give finance leaders a clearer view of current performance and future risks, empowering them to make informed decisions.
Tools powered by AI offer robust reporting, KPI analysis, and scenario planning. CFOs can now benchmark their performance against peers and adjust strategies in real-time to meet growth goals.
Redefining Financial Operations
Victor Alvarez highlights how AI agents handle complex, cross-functional workflows such as invoice matching and cash collection. “Agents reason through open items and recommend the next best actions,” he says. These systems not only flag high-risk receivables but also initiate follow-ups, reducing write-offs and improving cash flow.
While AI is taking over time-consuming tasks, human oversight remains critical. Strategic decisions still require human judgment, especially when financial outcomes are on the line. AI serves as a powerful assistant, but people must remain accountable for the results.
Building Trust in AI
One challenge finance leaders face is learning to trust AI systems. Kershaw observes, “The biggest hurdle isn’t understanding AI’s value—it’s reimagining what’s possible and adopting new ways of working.” Finance teams must shift their mindset and collaborate more closely with IT to adapt to these new workflows.
Preston adds that while AI boosts efficiency, “human expertise is critical to ensure the right context and decision-making is applied.” Data privacy and security are paramount, especially when handling sensitive financial data.
High-Impact Automation
According to Kershaw, two areas ripe for automation are contracts and profitability analysis. AI agents can read and categorize contracts, extract key data, and continuously monitor for revenue-generating opportunities. On the profitability front, AI enables daily allocation of indirect costs, providing granular visibility into operational spending.
These applications not only save time but also uncover hidden insights that can drive better financial performance. As finance teams become more data-savvy, they’ll be better equipped to navigate complex business environments and support company-wide transformation.
The Path Ahead for Finance
As ERP experts suggest, finance stands at a turning point. The adoption of agentic AI is not just about efficiency—it’s about evolution. The profession is transitioning from traditional accounting roles to strategic advisory positions that influence business direction.
Scott D. Anthony, in his book “Epic Disruptions: 11 Innovations That Shaped Our Modern World,” writes that disruption makes the complicated simple and the expensive affordable. Finance is experiencing exactly that. AI is simplifying complex workflows and providing affordable access to strategic insights.
Just as CIOs had to evolve during the pandemic, CFOs and their teams now face a similar challenge. Those who adapt will become indispensable partners in business transformation. Those who resist may find themselves left behind.
This article is inspired by content from Original Source. It has been rephrased for originality. Images are credited to the original source.
