
AI-powered accounting workflows offer finance teams a more accurate, efficient, and scalable alternative to spreadsheets. By automating repetitive tasks and improving data consistency, these workflows help organizations streamline operations, reduce errors, and make faster decisions with confidence. This shift enables finance to operate more strategically in a complex environment.
Spreadsheets have served finance teams well. They’re flexible, familiar, and deeply embedded in everyday operations. But they weren’t designed for today’s environment. Modern finance is defined by multi-entity complexity, global teams, and increasing pressure to close faster and operate leaner.
Finance leaders are beginning to act on this gap. According to McKinsey, 98% of CFOs have invested in automation and AI over the past years. Yet a majority report that only a fraction of their processes are actually digitized. Most are still navigating the early stages of transformation, but expectations are high.
Finance leaders say automation is giving employees more time for value-added tasks. The shift away from manual work is already happening, and those who lead the transition will shape what finance looks like over the next five years.
What’s driving this change? It’s not just about tools. It’s about workflows. Here are five ways AI-powered accounting workflows outperform spreadsheets and unlock real value for modern finance teams.
1. Automating Repetitive Tasks
Few things drain finance teams more than repetitive tasks. From reformatting files to updating templates and chasing inputs across systems, these routines quietly steal time, attention, and energy every month.
The Spreadsheet Limitation
Spreadsheets rely on humans to move data, maintain formulas, and monitor for errors. Even basic reports require hours of work, much of it spent copying and pasting instead of analyzing or advising.
How AI Improves It
AI agents handle repetitive, rules-based tasks like data imports, reconciliations, and roll-ups automatically. This means fewer manual steps and more time focused on what matters. It also reduces the mental overhead of remembering who updated what and when.
When automation takes over the busywork, teams regain time and clarity. According to Dun & Bradstreet, 73% of finance leaders say automation is giving employees more time for value-added work. That time savings compounds across every reporting cycle.
2. Enhancing Data Accuracy and Consistency
As organizations grow, so does the complexity of their data. Different systems, entities, currencies, and timelines introduce risk. Spreadsheets often become the patchwork holding it all together.
The Spreadsheet Limitation
Spreadsheets don’t validate inputs. They don’t flag broken formulas unless someone happens to notice. And they can’t prevent version conflicts when multiple team members are updating the same file at once.
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How AI Improves It
AI systems validate data continuously. They reconcile mismatches in real time, apply consistent logic across workflows, and reduce the risk of human oversight. They are not just faster. They are more reliable.
Accuracy improves. Audits go smoother. Finance leaders can trust the numbers. For early adopters of generative AI, this reliability is already paying off.
For early adopters of generative AI, this reliability is already paying off. Fifty-four percent say the technology has helped them use data more effectively to support business decisions, according to McKinsey.
3. Improving Scalability and Collaboration
When teams scale, spreadsheets struggle to keep up. With more people, more entities, and more data flowing through the process, coordination becomes a bottleneck.
The Spreadsheet Limitation
Spreadsheets weren’t built for real-time, global collaboration. Version control becomes a constant risk. Approvals get buried in inboxes. Last-minute changes often go unnoticed.
How AI Improves It
With AI-powered workflows, everything is centralized and coordinated. Task assignments, approvals, and updates happen in real time instead of across disconnected files and emails.
Teams stay aligned regardless of size or location. With more structure, new hires ramp faster and bottlenecks are easier to spot and resolve. It becomes a system that supports growth instead of getting in its way.
4. Accelerating Month-End Close
The month-end close remains one of the most stressful periods for any finance team. It’s a race against time filled with manual reconciliations, unclear task status, and constant deadline pressure.
The Spreadsheet Limitation
When the close is managed through spreadsheets, visibility is limited. It’s hard to know what’s done, what’s late, and what’s holding things up. That lack of clarity leads to delays and unnecessary stress.
How AI Improves It
Automated workflows simplify intercompany eliminations, journal entries, and progress tracking. Finance leaders can see close status in real time and resolve issues proactively.
The close becomes more predictable and less chaotic. Teams are no longer chasing down files. Instead, they focus on final review and strategic insights. That’s why, according to the McKinsey study, 49% of CFOs say strategy and leadership support is the most valuable application of AI in finance today.
5. Enabling Real-Time Visibility and Insights
Finance teams are expected to lead with insight. But too often, they’re stuck catching up with data instead of leading with it.
The Spreadsheet Limitation
Spreadsheets offer a backward-looking snapshot. By the time reports are compiled, the numbers are already outdated. Generating insights requires hours of manual work across disconnected systems.
How AI Improves It
AI-powered platforms bring data together automatically. Dashboards update in real time. Alerts flag issues before they become problems. Instead of reacting to data, finance teams can lead with it.
Decision-making gets faster and smarter. Insights are available on demand, and finance becomes a strategic partner to every department. According to Dun & Bradstreet, 52% of business leaders now say finance teams can be entrepreneurial contributors to growth. That’s a direct result of better tools and real-time insight.
The shift away from spreadsheets isn’t just a trend. It reflects a necessary evolution for finance teams managing complex and fast-paced operations.
AI-powered workflows provide a stronger foundation. They reduce risk, improve speed and accuracy, and allow teams to focus on strategy rather than fixing formulas or chasing down files.
From faster closes to real-time insights, the benefits are already clear for early adopters. And the longer companies wait to modernize, the more noticeable the gap becomes between what finance teams are doing and what they could achieve with the right tools.
Nominal helps finance teams bridge that gap. Our platform uses AI to automate consolidation, elimination, and close workflows with precision and control. No more version issues. No more month-end chaos.
If you're ready to spend less time in spreadsheets and more time driving results, we’d love to show you how it works. Book a demo and see what smarter finance operations look like.