Almost all FP&A teams are awash in data but lacking in insights. There are more spreadsheets than ever, the cycles of reporting are failing to keep up with business reality, and the leaders of FP&A are having to make decisions based on data that’s old before they can even explain their reasoning. This is precisely the space that FPnAInsights was designed to fill. The adoption of AI financial data insights isn’t something to aspire to; it’s an imperative.       

Why Traditional FP&A Workflows Are Breaking Down

The majority of FP&A functions are still mainly occupied with sourcing, scrubbing, and reconciling data, even before the analysis can start. Spreadsheet-based approaches are fraught with issues around version control, human error, and reporting latency that hinder financial forecasting precision during critical times.

The issue isn’t one of effort. It’s one of architecture. With data systems that aren’t able to handle real-time financial reporting, your team will always be behind, having to make decisions based on past-month data, rather than influencing future-month results.

How AI Financial Data Insights Change the Equation

What is the role of AI in financial planning and analysis? The use of AI technology in FP&A increases speed by performing tasks such as data aggregation, variance pattern recognition, and forecasting within minutes instead of hours. With AI technology, FP&A can focus more on analysis than reporting due to the built-in intelligence provided through FP&A software.

FPnAInsights has been designed specifically for such a transition, offering financial insights powered by artificial intelligence throughout the FP&A suite of tools, linking actuals, plans, and forecasts in one single system that finance directors can rely on.

From Reactive Reporting to Predictive Analytics

The most valuable aspect of utilizing financial insight from artificial intelligence in modern FP&A is not replacing analysts, but empowering them through predictive analytics to run several scenarios at once, test their assumptions, and discover possible risks before they show up on the income statement.

For example, a medium-sized manufacturing firm that oversees 14 different business segments will have its FP&A team streamline the process of producing monthly close commentary by combining driver-based variance analysis into one single layer. Rather than spending two days asking for clarifications on numbers, the finance director only needs two hours to stress-test the plan.

This is the operational change that AI financial data insights enable: less time on data manipulation and more time on making decisions based on data.

FP&A Workflow Automation That Scales with Your Business

Strategic Finance Transformation is not a one-time effort. It is the ability to continue. Organizations grow, and therefore do their data complexities – multiple entities, multiple currencies, multiple stakeholders with different reporting requirements.

This is where FPnAInsights comes in by delivering FP&A workflow automation that can scale without the need for scaling up headcount proportionally. AI financial data insights are built into each phase of the process, starting from rolling forecasts through to board packs, so that your analytics capability increases along with your business.

The CFOs who have gone through this change all say the same thing – their FP&A teams are now having the discussions that they were employed for.

Build the Finance Function Your Strategy Deserves

The divide is growing between finance teams who provide advice versus those who report, and it is almost perfectly correlated with which finance teams have adopted AI financial data insights and which have not. Those teams who are winning with AI have been adopting the idea that data-driven decision-making is a utility rather than an initiative. That’s why FPnAInsights exists.

For finance teams looking to make the shift to becoming strategically driven, FPnAInsights is the place to start. Get a glimpse into AI-based FP&A at fpnainsights.com

Q1: How can the application of AI technology aid FP&A in their processes?

Through FPnAInsights AI financial data insights, FP&A can easily and quickly gather data, analyze variance patterns, and create forecasts in minutes. FP&A analysts move away from time-consuming reporting tasks and start focusing on interpreting data by integrating business intelligence into the FP&A process.

Q2. What is the most challenging issue faced by the conventional approach to FP&A processes?

Conventional FP&A processes suffer from issues arising due to spreadsheet-based approaches, which slow down the process of real-time reporting and lead to reduced financial forecasting accuracy. This problem is addressed by the FPnAInsights application through intelligent AI financial insights that eliminate the need for reconciliation and create one single point of view for finance directors.

Q3. Can insights from AI in financial data be used to eliminate FP&A analysts?

No, FPnAInsights places the emphasis on using insights from AI in financial data as a great amplifier. Scenario modelling and driver-based variance analysis are taken care of by predictive analytics, while FP&A analysts and CFOs get to focus on transforming finances strategically.

Q4. How does FP&A workflow automation scale for business growth?

With growing entities, currencies, and reporting layers, FPnAInsights is scalable with respect to FP&A workflow automation without corresponding headcount growth. Insights using artificial intelligence in financial data will always be available throughout all planning processes, from rolling forecasts to the preparation of board packs, thus assuring accurate financial forecasting.

Q5. What outcomes can be expected by CFOs after implementing AI insights on financial data?

CFOs, when using FPnAInsights regularly, have indicated that AI insights on financial data have allowed them to switch their teams’ mindset from reactive reporting to proactive analysis-based decisions. With financial modelling and financial reporting processes automated, time is saved to focus on finance transformation and meaningful business insight discussions.