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Why FP&A Needs To Break Free From The 100-Year-Old Budgeting Mindset
March 5, 2026

By Pieter van Loosbroek, Founder and Managing Partner of Steervalue

FP&A Tags
Planning and Budgeting
Rolling Forecast
Driver-Based Planning

Break-Free-100-Year--Mindset

Every year, FP&A teams navigate the same exhausting budgeting cycle: reconciling spreadsheets, chasing inputs, iterating endlessly, and working late nights to meet deadlines. Despite massive advances in analytics, cloud platforms, and now Artificial Intelligence (AI), many organisations still rely on a budgeting process designed for a world that no longer exists.

Budgeting should be a strategic enabler that guides resource allocation, aligns expectations, anticipates risks, and supports performance management. Instead, it often becomes rigid, slow, and disconnected from reality.

Why Companies Struggle with Traditional Budgeting

The problems with traditional budgeting are familiar to most of us. Budgets tend to be static and are outdated as soon as they’re submitted. Early decisions are made long before plans are validated, which means they’re often based more on hope than on reality.

Targets are often pushed down from the top, which weakens ownership and engagement across the organisation. And because the process is so rigid, people start gaming the system; from sandbagging forecasts to rushing to spend whatever is left at year's.

It creates a paradox: companies spend a lot of money on modern technology, yet their planning and performance management are still based on a model that hasn’t changed in more than a century.

Resistance to change usually comes from people and organisational habits. Teams are worried about losing control and predictability. Performance management is often so connected to the budget that changing the process feels risky and complex, even when the benefits are clear.

Hybrid Approach: Redefining The Role of the Annual Budget

Today, we see leading organisations shifting towards a hybrid approach that maintains governance while enabling agility. This model clearly separates the conflicting purposes, which are traditionally compressed into the annual budget:

  • Planning & Target Setting – What we want to happen
  • Forecasting & Scenarios – What we think will happen
  • Resource Allocation – How we make it happen

Instead of eliminating the annual budget, its purpose is redefined. It is used for external reporting and governance, rather than for steering the business. Operational and strategic decisions are guided by rolling & driver-based forecasts. With scenario planning and quarterly resource reviews, another layer of agility is added, helping teams to adapt quickly when conditions change. This hybrid approach gives trust, control, flexibility and speed to make better decisions faster.

Example 1 – A global pharma company keeps a formal annual budget for board approval and regulatory reporting. Internally, however, it runs a rolling 18 month forecast updated quarterly. Investment decisions are made based on scenario-based business cases rather than fixed annual envelopes. This allows the company to respond quickly to clinical trial outcomes and market shifts.

Example 2 – A large retail chain maintains a high level annual budget for external stakeholders but allocates operating expenses quarterly. Store managers receive funding based on updated demand forecasts and scenario triggers (e.g., supply chain disruptions, weather patterns). This hybrid model improved cost discipline while increasing responsiveness to local market conditions.

AI As An Accelerator For FP&A Modernisation

AI technology isn’t here to replace FP&A; it’s here to enable and accelerate FP&A modernisation, including the annual budget. However, the real modernisation opportunity lies in balancing people, processes, and technology so they reinforce each other rather than compete. Only then can FP&A take on a more strategic, adaptive, and insight‑driven role, with AI as a critical accelerator.

People – Instead of data collectors, FP&A professionals become strategic advisors. AI takes over the heavy lifting of data consolidation, variance explanations, and scenario generation. That shift frees up time to focus on what truly matters: influencing decisions, challenging assumptions, and shaping strategy.

Process – With AI, organisations move faster to go beyond the static governance cycles: from an annual ritual to continuous steering. AI enables rolling forecasts, dynamic scenario modelling, and real-time risk detection. It accelerates the FP&A transformation from a backward-looking reporting function into a forward-looking navigation system.

Technology – Modern planning platforms, enhanced with Machine Learning and Generative AI, detect anomalies, suggest forecast adjustments, generate scenarios instantly, automate narrative reporting, and integrate operational and financial data in real-time. This technology becomes the backbone that supports faster, smarter decision‑making. As said, the real transformation doesn’t happen only with technology. It happens when people and processes evolve alongside it.

Example 3 – A global consumer goods company deployed an AI-powered forecasting assistant. Analysts no longer spend weeks preparing forecast packs; instead, they focus on interpreting drivers and engaging business partners. The shift increased both forecast quality and team engagement.

Example 4 – A logistics company replaced its annual budget with quarterly resource allocation and monthly AI-supported forecasts. Decision cycles shortened dramatically, and the company could respond to fuel price volatility within days instead of months.

Example 5 – A European industrial manufacturer implemented an integrated planning platform with AI-driven anomaly detection. Instead of manually searching for errors across hundreds of cost centers, the system automatically flagged unusual spending patterns and forecast deviations. This reduced the month-end review time by 40% and improved the quality of insights delivered to leadership.

Why This Matters Now

Start-ups and scale-ups already operate in this agile way out of necessity. But in today’s volatile environment, large enterprises can no longer afford a budgeting process designed for stability and predictability. The potential upside is enormous: greater agility, better decisions, more engaged teams, and a planning process that truly adds value.

The budgeting process isn’t outdated because of spreadsheets; it’s outdated because it no longer matches the speed and complexity of modern business. FP&A leaders who modernise people, process, and technology, and embrace AI as a strategic accelerator, will build more adaptive, high-performing organisations. Those who don’t will be left behind.

As FP&A leaders look ahead to the next planning cycle, the most important step may be to ask a simple question to their CFO and executive team: which decisions do we still expect the annual budget to support and which would be better informed by rolling forecasts, scenarios, and more dynamic resource allocation?

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