Webinar: Navigating AI as a Finance Leader

AI is no longer a future consideration for finance leaders. It is already reshaping how finance teams operate, make decisions, and deliver value. In our previous webinar we talk about how senior finance leaders can start to move forward with confidence.

First, ERP and finance technology have fundamentally changed. Modern platforms are more connected, data-rich, and capable of supporting advanced analytics. Finance leaders must understand how these changes enable faster insights and more agile decision-making, not just more efficient transaction processing.

Second, it is time to move beyond the hype. AI is much more than large language models. From predictive analytics to process automation and anomaly detection, a range of AI tools can support forecasting, planning, and performance management. The goal is not experimentation for its own sake, but practical use cases that improve outcomes.

Third, risk and data safety are central. Eliminating risk does not mean avoiding AI, it means governing it properly. Finance leaders play a key role in ensuring data quality, access controls, and transparency so AI can be trusted and audited.

Finally, building a digital strategy must be finance-led. When finance owns the strategy, organizations gain agility, competitive advantage, and stronger risk management. The impact is significant: companies can unlock 25–30% efficiency gains, while avoiding a common pitfall where 40% of AI initiatives fail due to poor understanding of end-to-end business processes.

For finance leaders, the message is clear: AI success depends less on technology and more on leadership, process understanding, and a clear strategic vision.