For many finance teams, the annual operating plan remains one of the most resource-intensive and fragile processes of the year. Despite increasing complexity and volatility, planning is still driven by manual forecasts, spreadsheet consolidation, and internal negotiation—leaving leaders with plans that are difficult to defend when conditions change.

In this article, originally published in CIO.com, Aarif Nakhooda explores how AI is reshaping the AOP process. Rather than treating planning as a one-time budgeting exercise, the piece describes a shift toward dynamic, explainable forecasts built around core economic drivers.

The article outlines how finance leaders are using AI to move beyond guesswork and reconciliation—toward operating plans that adapt as markets, investments, and priorities evolve.

Download the article to explore:

• Why traditional AOP processes break down at scale
• How AI reframes planning around business drivers, not negotiations
• What dynamic forecasting changes for CFOs and finance teams
• How AI enables more confident planning under uncertainty

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