Finance transformation: how technology, data and AI are changing finance

August 17, 2026

By Muhammad Loonat, Associate Director, AFA

The finance function is changing quickly, even when those changes are not always obvious. The core responsibilities remain, but what businesses expect from finance has changed significantly.

CFOs are increasingly expected to provide timely insights, support better decision-making and help the business respond quickly to changing conditions. Many traditional finance environments were simply not designed for that pace.

Automation, data and changing operating models are all contributing to this shift.

A growing disconnect

Many finance teams still rely on manual processes, disconnected systems and ways of working that have remained largely unchanged for years. These processes may produce accurate results, but they can make it difficult to report quickly, scale effectively or turn financial information into meaningful insight.

At the same time, the business is asking for faster reporting, better visibility and more forward-looking analysis. That creates a growing gap between what finance is able to deliver and what the business needs from it.

Automation and data are necessary, but not enough

Automation can improve efficiency, reduce manual work and take pressure off finance teams. But technology alone cannot fix an inefficient process. If the underlying processes are poorly designed or the data is inconsistent, automation can simply make those problems more visible and, in some cases, move them through the process faster.

The same applies to data. Most organisations have access to more data than ever before. The challenge is making sure that data is consistent, connected and usable. Finance teams that get these fundamentals right are in a much stronger position to provide meaningful insight and improve the way they report.

AI is changing what is possible

Artificial intelligence is also becoming an increasingly important part of the future finance landscape. Beyond automating repetitive tasks, AI can help finance teams identify trends and anomalies, strengthen forecasting and support faster, more informed decision-making.

But AI is only as useful as the data and processes behind it. Strong data foundations and well-designed processes will therefore become increasingly important as finance teams adopt AI and other emerging technologies.

The operating model matters

The expanding role of the CFO requires more than making small improvements to existing processes. Finance needs an operating model that can maintain strong financial control while also creating room for insight, innovation and change.

For many organisations, this means standardising processes, making better use of technology and adopting more flexible delivery models that can adapt as the business grows and its needs change.

How AFA supports this shift

AFA works with finance leaders to strengthen and evolve their finance functions in a practical and controlled way.

Our focus includes:

  • Streamlining and standardising core finance processes
  • Strengthening data foundations and reporting integrity
  • Enabling the effective use of automation and AI
  • Supporting finance operating model improvements
  • Providing flexible capacity where it is needed

The goal is not transformation for the sake of transformation. It is about making measurable improvements that allow finance to operate more effectively and provide greater value to the wider business.

Evolving the finance function does not necessarily mean a complete overhaul. Often, it means identifying where change will have the greatest impact and focusing on those areas first.

With the right focus on data, processes, technology and operating model, finance can move beyond simply reporting what has happened and play a more active role in helping shape what happens next.