How do you prepare financial planning for AI?

Many organisations are excited about the potential of AI in planning, forecasting and decision-making. However, successful AI adoption in finance does not start with AI models. It starts with the foundations that make AI trustworthy, explainable and effective.

Before AI can improve financial planning, organisations need three things in place: high-quality data, strong governance, and an operating model capable of supporting AI-driven decision-making. Without these foundations, AI simply accelerates existing problems rather than solving them. This principle is highlighted across Bedford’s approach to AI-enabled planning and optimisation.

• The first priority is data quality. AI relies on historical and operational data to identify patterns, generate forecasts and recommend actions. If the underlying data is inconsistent, incomplete or inaccurate, AI-generated outputs will be equally unreliable. Finance teams should focus on improving data governance, standardising planning assumptions, validating hierarchies and establishing a trusted source of planning data before introducing AI capabilities.
• The second priority is governance. AI can significantly increase the speed of analysis and decision-making, but organisations still need clear controls around ownership, accountability and approval processes. Finance leaders must understand who owns decisions, who validates assumptions and how AI-generated recommendations are reviewed before actions are taken. AI requires stronger governance, not less.
• The third priority is the operating model. Successful AI adoption is as much a people challenge as a technology challenge. Finance teams need clear roles, responsibilities and processes that define how AI fits into planning activities. Teams must understand when to trust AI recommendations, when to challenge them, and how to explain decisions to the wider business. Organisations that prepare their people alongside their technology are often the ones that realise the greatest value from AI investments.

Once these foundations are established, platforms such as Anaplan can help organisations combine connected planning, scenario modelling and AI-powered forecasting capabilities. AI can enhance forecast accuracy, identify trends, surface risks earlier and help finance teams evaluate multiple scenarios more quickly. Rather than replacing finance professionals, AI enables them to spend less time gathering data and more time providing strategic insight.

Ultimately, preparing financial planning for AI is not about deploying the latest technology. It is about creating the right environment for AI to deliver trusted, explainable and actionable outcomes. Organisations that focus on data quality, governance and operating model readiness put themselves in the strongest position to benefit from AI-enabled planning.