For many CFOs, the past few years have felt like a stress test for the entire finance function. AI is shifting from a buzzword to actual system implementations. Legacy ERP systems are becoming outdated and cumbersome. Regulations, cybersecurity demands and supply chain challenges continue to grow in scope and complexity.
As a result, CFOs and finance leaders are being asked to do something fundamentally different. “The role is shifting from reporting the past to helping shape what happens next,” says Jordan Weitzen, CFO at Acumatica. “Finance is expanding from a reporting function to more of a real-time decision partner to the business.”
This challenge is compounded by a dynamic regulatory landscape where frequent policy changes demand rapid adaptation. “The finance function has traditionally been underserved by technology. As a result, the profession is experiencing historically high levels of burnout, contributing to a shortage of qualified talent,” says Brian Howell, CFO of NexTec Group, a gold-certified Acumatica implementation partner and value-added reseller (VAR) with thirty years of ERP expertise. “Looking to the future, finance professionals, equipped with the right technology platforms and tools to support them, will play an increasingly important role in enabling organizations to remain agile, compliant, and positioned for sustainable growth.”
Weitzen draws a clear line between a reporting-focused CFO and a strategic one. “The biggest difference is where time and attention go,” he says. From Weitzen’s perspective, a reporting-focused CFO spends most of their energy producing accurate financials. On the other hand, a strategic CFO focuses on what those numbers mean for the business and on the decisions that should follow. The trouble with making the strategic CFO a reality is that many finance teams do not yet have the systems or data foundation.
Why the Connected Cloud ERP Is Now Critical
Across midmarket organizations, finance is still mashing together data from multiple disconnected systems and reconciling through “spreadsheet glue.”
“A surprising amount of finance work is still stitching together data rather than analyzing it,” Weitzen notes. “Spreadsheets often become the glue between systems, and that’s going to introduce risk and slow everything down.”
That is why connected, cloud-based ERP has become central to the modern CFO agenda. In practice, these platforms consolidate financial and operational data into one place, serve as a single source of truth, and enforce stronger controls throughout the reporting cycle.
“You can’t have real-time insight if your data lives in different systems,” Weitzen says. When revenue, inventory, projects, and cash all live in the same real-time environment, finance leaders gain a more reliable and timely view of performance.
AI’s Most Realistic Use Cases in Finance
The single source of truth matters even more as AI becomes integral to day-to-day finance work. The most realistic and valuable use cases today are the repetitive, data-heavy tasks every finance team deals with, such as reconciliations, transaction classifications, anomaly detection and generating first drafts of management reports.
“AI is going to be most effective in automating the mechanical parts of finance,” Weitzen says. “Use cases that are repetitive and data-heavy, where AI can reduce manual effort really quickly and allow finance teams to then focus on higher-value work.”
In that sense, as Weitzen puts it, “AI in finance isn’t the model. It’s the data.” The foundation has to be “clean, connected data, because AI can only generate useful insights if the underlying data is accurate and accessible.”
When the ERP is not only the system of record, but the system of action, and processes are well-defined, AI has a structured environment in which to operate. But when data lives in fragmented systems and one-off spreadsheets, automation often amplifies noise rather than delivering insight.
“Finance teams are navigating unprecedented pressures in today’s technology and AI driven environment,” adds Howell. “Many organizations with legacy accounting or ERP systems are feeling an urgent need to adopt AI and automation, while still ensuring reporting accuracy and regulatory compliance. Implementing new systems, redefining operational processes, and maintaining parallel accuracy between legacy and modern platforms places significant strain on teams accustomed to stable, repetitive monthly reporting cycles.”
Flexibility, Optionality and Speed
When properly implemented, the benefits of ERP modernization are most evident in speed and flexibility. “As a CFO, there’s nothing better than having flexibility and optionality,” Weitzen says. When new accounting standards arrive, compliance requirements tighten or supply chain disruptions hit, a modern platform makes it easier to update workflows once and apply them consistently, instead of bolting on manual workarounds.
Over time, integration changes not just how quickly finance operates, but also how it’s positioned within the enterprise. Weitzen sees stronger data integrity shifting leadership discussions in a profound way. “It just increases confidence and speed. Better data shifts the conversation from ‘Is this right?’ to ‘What should we do?’”
Forecasts become more credible, scenario planning more actionable, and conversations with the CEO and operating leaders center on decisions, not debates about the numbers' veracity.
For organizations that know they need to modernize but feel overwhelmed, Weitzen suggests beginning with the friction everyone can see. “The smartest place to start is where your team is spending the most time on manual work,” he advises, usually “around moving or reconciling data.” Focusing first on a few high-impact workflows delivers quick wins and builds momentum, versus trying to transform everything at once.
Why the CFO Role Won’t Be Automated Away
Amid all the change, one concern frequently surfaces: if AI and automation continue to advance, what happens to the CFO's office? When asked if finance will go away. Weitzen’s answer is unequivocal: “My answer is no. AI and these systems are going to give you more productivity to go do the real work that matters. This is going to replace the manual tasks and accelerate decision-making in the business, but someone still needs to make the decisions.”
The future of finance is about building an intelligent, connected backbone that’s grounded in modern ERP and trusted data, allowing CFOs to spend less energy proving what happened and more energy orchestrating what should happen next.
Finding the right ERP implementation partner to deliver connected financial systems is critical. “ERP implementations are notoriously complex and can be disruptive without an experienced partner to guide the transition,” says Howell. “To ensure long-term value and ROI, it is essential to partner with a consulting firm that is committed to your success not only during the sales cycle and initial implementation, but throughout the entire lifecycle of the ERP software, which can often span 15 years or more.”
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