Financial Planning and Analysis (FP&A) is moving beyond traditional budgeting, financial reporting, and variance analysis. As businesses face changing market conditions, rising costs, and increasing pressure to make faster decisions, finance teams are expected to provide a clearer view of what lies ahead.
Technology is accelerating this shift. Artificial intelligence, predictive analytics, integrated planning, and automation are changing how organisations prepare forecasts and evaluate business performance. According to IBM’s 2026 FP&A research, 69% of CFOs say AI is integral to their finance transformation strategy.
Here are seven FP&A trends shaping finance functions in 2026 and beyond.
AI is moving beyond experimentation into everyday finance activities. Teams are beginning to use it for variance analysis, anomaly detection, financial forecasting, and identifying patterns across large datasets.
According to Gartner’s 2025 AI in Finance survey, 59% of finance leaders reported using AI in their finance functions.
In FP&A, AI can help teams investigate unexpected movements, identify potential risks, and generate insights faster. Human oversight will remain essential for validating findings and making financial decisions.
Annual budgets often struggle to keep pace with changing business conditions. Organisations are increasingly looking towards rolling forecasts and continuous planning to update financial expectations throughout the year.
The 2026 AFP FP&A Benchmarking Survey found that only 38% of organisations use structured scenario planning. Organisations that do reported completing budgets 11% faster on average.
This points towards a need for more connected planning processes, where finance teams can regularly update assumptions, incorporate actual results, and revise forecasts without restarting the entire budgeting exercise.
Historical financial data explains past performance, but predictive analytics helps finance teams anticipate potential outcomes.
By combining historical results with business drivers, market information, and operational data, predictive models can improve revenue projections, expense forecasts, and cash flow estimates.
IBM’s 2026 FP&A research identifies predictive analytics and integrated planning as key capabilities for finance teams seeking more dynamic decision-making.
The focus will increasingly shift from explaining financial results to identifying what could happen next and preparing for it.
Finance cannot plan effectively in isolation. Sales, procurement, supply chain, and HR decisions all influence financial performance.
Integrated business planning connects these functions through shared assumptions, operational targets, and financial models. This gives leadership a more consistent view of how departmental decisions affect revenue, costs, profitability, and cash flow.
According to Deloitte’s Finance Trends 2026 research, 30% of surveyed finance leaders identified advanced scenario planning as a priority for managing uncertainty.
Connected planning will help organisations evaluate these scenarios across departments before committing resources.
Scenario modelling is becoming increasingly important as organisations prepare for uncertainty. Instead of relying on a single forecast, finance teams will evaluate multiple possible outcomes and understand their financial implications.
For example, businesses can model the impact of rising procurement costs, lower sales volumes, delayed collections, or changing interest rates.
Deloitte’s 2026 finance research also found that 28% of finance leaders plan to build more agile governance models to support faster decision-making.
With modern EPM platforms, scenario analysis can become part of regular budgeting and forecasting rather than an occasional exercise.
AI-powered forecasting and analytics depend on reliable, consistent data. If financial information is scattered across spreadsheets, ERP systems, and disconnected applications, the resulting insights may be incomplete or misleading.
The 2026 FP&A Trends Survey, covering 475 finance professionals across 52 countries, found that 81% of teams use data in most decisions, but only 19% rated their data quality as advanced. It also reported that 47% of FP&A time was spent on data collection.
These findings reinforce the importance of data integration, standardised financial definitions, and reliable reporting structures before expanding AI adoption.
The role of FP&A professionals is expanding beyond budgeting, reporting, and financial analysis. Finance teams are increasingly expected to challenge assumptions, evaluate investment decisions, identify business risks, and work closely with operational leaders.
This shift also requires new capabilities in data analytics, technology, financial modelling, and business communication.
Deloitte’s Finance Trends 2026 report found that 57% of surveyed finance leaders play a leading role in shaping enterprise strategy.
As automation takes over repetitive activities, FP&A professionals will have more opportunities to contribute to business planning and strategic decision-making.
FP&A in 2026 is moving towards continuous planning, predictive forecasting, AI-assisted analysis, and stronger collaboration between finance and operations. However, adopting new technology alone will not deliver these outcomes. Organisations also need reliable data, connected processes, and the right planning capabilities.
PPN Solutions helps organisations strengthen financial planning and performance management through EPM consulting, implementation, and analytics solutions. With expertise in platforms such as BOARD, Jedox, and SAP Analytics Cloud, PPN Solutions helps finance teams improve budgeting, forecasting, reporting, and scenario planning.
Ready to build a more forward-looking FP&A function? Connect with PPN Solutions to explore the right planning and analytics approach for your business.
Financial Planning and Analysis (FP&A) is moving beyond traditional budgeting, financial reporting, and variance analysis. As businesses face changing market conditions, rising costs, and increasing pressure to make faster decisions, finance teams are expected to provide a clearer view of what lies ahead.
Technology is accelerating this shift. Artificial intelligence, predictive analytics, integrated planning, and automation are changing how organisations prepare forecasts and evaluate business performance. According to IBM’s 2026 FP&A research, 69% of CFOs say AI is integral to their finance transformation strategy.
Here are seven FP&A trends shaping finance functions in 2026 and beyond.
AI is moving beyond experimentation into everyday finance activities. Teams are beginning to use it for variance analysis, anomaly detection, financial forecasting, and identifying patterns across large datasets.
According to Gartner’s 2025 AI in Finance survey, 59% of finance leaders reported using AI in their finance functions.
In FP&A, AI can help teams investigate unexpected movements, identify potential risks, and generate insights faster. Human oversight will remain essential for validating findings and making financial decisions.
Annual budgets often struggle to keep pace with changing business conditions. Organisations are increasingly looking towards rolling forecasts and continuous planning to update financial expectations throughout the year.
The 2026 AFP FP&A Benchmarking Survey found that only 38% of organisations use structured scenario planning. Organisations that do reported completing budgets 11% faster on average.
This points towards a need for more connected planning processes, where finance teams can regularly update assumptions, incorporate actual results, and revise forecasts without restarting the entire budgeting exercise.
Historical financial data explains past performance, but predictive analytics helps finance teams anticipate potential outcomes.
By combining historical results with business drivers, market information, and operational data, predictive models can improve revenue projections, expense forecasts, and cash flow estimates.
IBM’s 2026 FP&A research identifies predictive analytics and integrated planning as key capabilities for finance teams seeking more dynamic decision-making.
The focus will increasingly shift from explaining financial results to identifying what could happen next and preparing for it.
Finance cannot plan effectively in isolation. Sales, procurement, supply chain, and HR decisions all influence financial performance.
Integrated business planning connects these functions through shared assumptions, operational targets, and financial models. This gives leadership a more consistent view of how departmental decisions affect revenue, costs, profitability, and cash flow.
According to Deloitte’s Finance Trends 2026 research, 30% of surveyed finance leaders identified advanced scenario planning as a priority for managing uncertainty.
Connected planning will help organisations evaluate these scenarios across departments before committing resources.
Scenario modelling is becoming increasingly important as organisations prepare for uncertainty. Instead of relying on a single forecast, finance teams will evaluate multiple possible outcomes and understand their financial implications.
For example, businesses can model the impact of rising procurement costs, lower sales volumes, delayed collections, or changing interest rates.
Deloitte’s 2026 finance research also found that 28% of finance leaders plan to build more agile governance models to support faster decision-making.
With modern EPM platforms, scenario analysis can become part of regular budgeting and forecasting rather than an occasional exercise.
AI-powered forecasting and analytics depend on reliable, consistent data. If financial information is scattered across spreadsheets, ERP systems, and disconnected applications, the resulting insights may be incomplete or misleading.
The 2026 FP&A Trends Survey, covering 475 finance professionals across 52 countries, found that 81% of teams use data in most decisions, but only 19% rated their data quality as advanced. It also reported that 47% of FP&A time was spent on data collection.
These findings reinforce the importance of data integration, standardised financial definitions, and reliable reporting structures before expanding AI adoption.
The role of FP&A professionals is expanding beyond budgeting, reporting, and financial analysis. Finance teams are increasingly expected to challenge assumptions, evaluate investment decisions, identify business risks, and work closely with operational leaders.
This shift also requires new capabilities in data analytics, technology, financial modelling, and business communication.
Deloitte’s Finance Trends 2026 report found that 57% of surveyed finance leaders play a leading role in shaping enterprise strategy.
As automation takes over repetitive activities, FP&A professionals will have more opportunities to contribute to business planning and strategic decision-making.
FP&A in 2026 is moving towards continuous planning, predictive forecasting, AI-assisted analysis, and stronger collaboration between finance and operations. However, adopting new technology alone will not deliver these outcomes. Organisations also need reliable data, connected processes, and the right planning capabilities.
PPN Solutions helps organisations strengthen financial planning and performance management through EPM consulting, implementation, and analytics solutions. With expertise in platforms such as BOARD, Jedox, and SAP Analytics Cloud, PPN Solutions helps finance teams improve budgeting, forecasting, reporting, and scenario planning.
Ready to build a more forward-looking FP&A function? Connect with PPN Solutions to explore the right planning and analytics approach for your business.
