Q&A Series: From Spreadsheets to an AI-Ready Performance Platform

Table of Contents

Because they are fragile, manual, siloed, and error-prone. Common risks include:

  • Version control chaos
  • Manual consolidation delays
  • High error rates
  • Lack of governance
  • Slow reporting cycles
  • Disconnected data

As business complexity increases, spreadsheets cannot keep up.

2026 marks the shift toward governed, AI-ready performance platforms that:

  • Centralise and unify data
  • Provide real-time visibility
  • Support predictive analytics
  • Enable modelling at scale
  • Reduce manual work
  • Strengthen governance

This transition is being accelerated by the launch of Microsoft Fabric.

Together, they provide:

  • Unified analytics across the enterprise
  • Enterprise-grade write-back and modelling
  • Connected planning across Power BI, Fabric, and Excel
  • Centralised data governance
  • Real-time forecasting and automated consolidation
  • AI-driven insights

GrowCFO members report:

  • 70% reduction in manual consolidation
  • 3–5x faster forecasting cycles
  • Instant scenario modelling

Because data is now an asset that must be governed with the same discipline as finances.

Without a strong data foundation, AI becomes ineffective.

With one, finance gains agility, accuracy, and predictive intelligence.