As we enter 2025, the role of Financial Planning and Analysis (FP&A) is undergoing a significant transformation. And it’s quite visible that the rise of automation, fuelled by advancements in artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA), is reshaping the whole industry landscape.
While these technologies promise greater efficiency, accuracy, and speed in financial processes, one pressing question arises: Do you still need human experts in FP&A when automation takes over much of the workload?
The answer is more nuanced than a simple yes or no. While automation is undoubtedly enhancing the capabilities of FP&A teams, the human element—strategic thinking, decision-making, and insight—is still irreplaceable. In this blog, we will explore how automation is transforming FP&A, the benefits and challenges it brings, and why expert human intervention will remain essential in 2025 and beyond.
Automation is not a new concept in finance, but the speed at which it’s being adopted in FP&A is accelerating. Tasks that were once labour-intensive and time-consuming, such as data gathering, reporting, forecasting, and budgeting, can now be streamlined using automation tools.
These tools can process vast amounts of data in real-time, allowing for quicker and more accurate insights.
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Automation is rapidly gaining traction in FP&A because it offers several distinct, difficult-to-rely-ignore advantages. These benefits are driving widespread adoption, even among organisations that have traditionally been slow to embrace new technologies.
Increased Efficiency:
One of the most significant advantages of automation is the ability to eliminate time-consuming manual tasks. Data entry, report generation, and consolidation of financial data are all tasks that machines can handle more quickly and accurately than human workers. This enables FP&A teams to focus on higher-value activities like analysis and strategy.
Improved Accuracy:
Human error is inevitable in repetitive tasks such as data entry and financial reporting. Automation minimise these risks, providing more accurate and consistent outputs. This is crucial for FP&A, where even small mistakes can have large-scale repercussions.
Real-Time Insights:
Automation allows FP&A teams to analyse data in real-time, enabling faster decision-making. Whether tracking daily revenue or assessing the impact of an external event on the business, real-time insights provide a competitive edge in an ever-changing market.
Scalability:
As businesses grow, so do their financial operations. Automation allows FP&A functions to scale more efficiently, handling larger volumes of data without increasing the team size. This makes it easier for growing businesses to maintain tight control over their finances.
Cost Savings:
Automation can reduce the need for manual labour and improve accuracy, leading to significant cost savings for businesses. Companies can reallocate resources previously spent on redundant tasks to more strategic areas, such as business development or innovation.
Despite these significant advantages, automation cannot replace the expertise and strategic thinking of human FP&A professionals. The human element remains indispensable, especially in areas that require judgement, creativity, and deep business understanding.
Strategic Decision-Making
Automation tools can provide data and insights but cannot make strategic decisions. For example, while an AI tool might suggest a particular budget allocation based on historical data, a human expert can factor in market conditions, business goals, and other qualitative aspects that machines simply cannot understand. Strategic decisions often require a nuanced approach that blends data with intuition, something only human experts can offer.
Understanding Business Context
FP&A is not just about numbers; it’s about understanding the entire business ecosystem. Automation can handle data processing and analysis, but it doesn’t comprehend the broader business context in the same way a human expert does. A skilled FP&A professional understands how financial decisions affect various departments, stakeholders, and long-term goals. This holistic understanding is crucial for making informed decisions that align with a company’s strategy.
Navigating Uncertainty
Machines are excellent at working with structured data and defined parameters but need help in uncertain or ambiguous situations. A skilled FP&A professional can navigate uncertainty, make informed assumptions, and adjust strategies accordingly. Whether it’s reacting to sudden market shifts or dealing with an unexpected crisis, human judgement is essential in uncertain times.
Driving Innovation
Automation may improve efficiency, but it doesn’t drive innovation. Human experts are necessary to think creatively and develop new financial models, approaches, or strategies. They can experiment with new ideas, challenge conventional thinking, and push the boundaries of what’s possible in FP&A.
Interpersonal Skills and Collaboration
FP&A experts play a critical role in communicating complex financial insights to non-financial stakeholders. Automation can provide the data, but human experts translate these insights into actionable strategies for various departments, from marketing to operations. Interpersonal skills, emotional intelligence, and the ability to collaborate effectively across teams are qualities that machines simply cannot replicate.
As automation continues to advance, the future of FP&A will be defined by collaboration between humans and machines. Automation will handle more of the repetitive, data-driven tasks, while human experts will focus on strategy, innovation, and decision-making.
Let’s analyse a real-time scenario with a case-study.
Client Overview:
Company: Tech Solutions
Industry: SaaS
Location: Global
Annual Revenue: $500 million
Team Size: 1,500 employees
Objective: Streamline financial planning and analysis (FP&A) processes using automation to increase efficiency, reduce errors, and improve decision-making speed.
Tech Solutions, a global leader in SaaS, has been growing rapidly. As the company expanded, its financial operations became increasingly complex. The CFO noticed inefficiencies in the FP&A process: manual data entry took time, and generating accurate forecasts required significant resources. The financial team often found themselves spending more time gathering and organising data than analysing it to provide valuable business insights.
With the rise of automation tools in finance, the company aimed to automate routine financial tasks to improve overall efficiency, accuracy, and decision-making. The key question was: Would automation replace the need for expert FP&A professionals, or would human expertise still be required?
Challenges:
Solution: Automation in FP&A
To address these challenges,Tech Solutions implemented several automation tools, including:
● Robotic Process Automation (RPA) will handle manual data entry and reconciliation.
● AI-Driven Financial Forecasting Tools to enhance predictive accuracy and support scenario planning.
● Data Integration Platforms that pull real-time data from multiple sources, such as CRM, ERP, into a centralised dashboard for FP&A professionals to analyse.
The automation tools streamlined processes such as data gathering, reporting, and forecasting, allowing the company to significantly reduce the time spent on manual tasks. However, as automation took over these routine tasks, the CFO wondered if human FP&A experts would still be necessary in the long term.
Implementation: A Strategic Partnership Between Humans and Machines
Rather than viewing automation as a replacement for human expertise, Tech Solutions decided to adopt a hybrid approach, where automation and human insights would complement each other.
Here’s how automation and human expertise were applied across different FP&A functions:
1) Data Collection and Reporting:
Automation’s Role: The RPA system extracted and consolidated financial data from various business systems into a real-time dashboard, ensuring consistent and accurate reporting.
Human Expertise: FP&A professionals interpreted the data, offering insights and drawing conclusions to advise on strategic decision-making.
2) Forecasting and Budgeting:
Automation’s Role: AI-powered forecasting tools use historical data and external factors to create highly accurate predictive models, offering multiple scenarios for Revenue, cash flow, and expenses.
Human Expertise: FP&A professionals assessed the predictive models, considering the business context, external market trends, and strategic priorities. Their judgement helped adjust forecasts for more realistic outcomes.
3) Scenario Planning and What-If Analysis:
Automation’s Role: The system ran hundreds of “what-if” scenarios based on variables like market fluctuations, operational changes, and economic shifts.
Human Expertise: FP&A experts evaluated the automation-generated scenarios and provided recommendations based on qualitative insights, such as company-specific risks and long-term goals.
4) Real-Time Decision-Making:
Automation’s Role: The centralised dashboard allowed the CFO and other executives to access real-time financial performance metrics.
Human Expertise: The FP&A team interpreted the data, using their deep understanding of the business to provide strategic recommendations to the leadership team. Human professionals contextualised the insights provided by automation, helping drive key business decisions.
Results: The Power of Automation with Human Expertise
After implementing automation in their FP&A processes, Tech Solutions saw impressive results:
Why Human Expertise Still Matters
While automation significantly improved Tech Solutions FP&A functions, human experts remained vital to the process. Here’s why:
● Strategic Decision-Making: While automation tools can generate data and forecasts, only human experts can interpret the information and make strategic decisions based on the business context.
● Understanding Market Dynamics: Automation tools were highly efficient with structured data, but they needed help understanding the nuanced market trends or business-specific factors that influence strategic decisions.
● Collaboration and Communication: FP&A professionals played a key role in translating financial insights into actionable strategies for various departments. Their ability to communicate complex financial data in a way that made sense to non-financial stakeholders was invaluable.
● Adaptability and Creativity: Human experts demonstrated flexibility and creativity, especially when navigating uncertain market conditions or unexpected challenges. Machines can predict trends but cannot innovate or adapt as rapidly as humans.
Conclusion: The Future of FP&A is Human-Driven and Tech-Enabled
Tech Solutions successfully navigated the rise of automation in FP&A by embracing a hybrid model where human expertise and machine efficiency worked in tandem. Automation enhanced the FP&A team’s ability to deliver accurate, real-time insights, but human professionals remained essential for making strategic decisions, understanding the broader business context, and navigating uncertainty.
This case study demonstrates that while automation reshapes FP&A in 2025, human experts are far from obsolete. Instead, they are more empowered than ever, equipped with the tools and insights needed to focus on higher-value, strategic work.
The future of FP&A lies in the collaboration between humans and machines, where automation enhances human capabilities rather than replaces them.
While automation is undoubtedly transforming FP&A, human experts are more critical than ever. Automation can handle the data, but the human element provides the strategic thinking, creativity, and business understanding necessary to drive long-term success.
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