AI is becoming a defining issue for finance leaders. The question is no longer whether finance should use AI. The real question is why some organisations are gaining more value from it than others.
According to Gartner, the difference is not only the technology being used. It is the environment around the technology. Some organisations are moving ahead because they are changing the way work is done. Others remain at the early stages, using AI in limited ways and seeing only small improvements.
This is an important message for CFOs and leadership teams.
Many organisations still approach AI as a tool for automation. They look for ways to reduce manual work or complete routine tasks faster. This can be useful, but it is not where the full value lies. The greater opportunity is to apply AI to areas that influence decisions, performance and growth.
Finance is a good example. AI can support forecasting, analysis, risk detection and performance management. These are not simple back-office tasks. They shape how the organisation plans, invests and responds to change.
To capture this value, finance teams need more than new tools. They need an AI ready ecosystem. This means clear processes, reliable data flows, strong governance and a culture that encourages people to build and improve how work gets done.
One important area is knowledge. Much of an organisation’s most valuable knowledge is often held by employees or scattered across documents, reports and conversations. AI cannot use this knowledge effectively unless it is captured and structured. Finance teams need to make their expertise easier to access, update and apply.
Data is another key issue. Gartner highlights the importance of data supply chains that allow information to move and be transformed in ways AI can use. The focus should not only be on perfect data. It should be on making the right data available, usable and connected to business priorities.
Governance also plays a different role. It should not be seen only as control or restriction. When designed well, governance can help organisations move faster. It creates reusable rules and structures that allow AI initiatives to scale with less confusion and lower risk.
The role of people is equally important. Finance professionals are no longer expected only to consume technology. They need to become active users, builders and problem solvers. This requires new skills, new roles and new ways of working.
For CFOs, this creates a clear leadership responsibility. AI in finance should not be treated as a side project. It should be connected to the finance strategy, operating model and business outcomes. A strong AI roadmap should identify where AI can improve decisions, strengthen control and create measurable value.
The future of finance will belong to teams that go beyond experimentation. They will use AI to rethink work, not just speed up old processes.
NetU supports organisations in building the technology foundations required for this shift. Through intelligent platforms and seamless systems integration, NetU helps organisations connect data, streamline processes and equip finance and business leaders with the trusted insights needed to make faster, more informed decisions.
Source: Gartner, Finance at the Forefront: How CFOs Can Win Amid AI Change
