Artificial intelligence is transforming how finance teams operate, promising faster reporting, sharper insights, and huge efficiency gains. Yet for many CFOs and finance leaders, a central question remains: can finance teams truly trust AI with sensitive financial data and critical decisions? In this session, we explore how to unlock AI’s potential while staying firmly in control of risk, governance, and compliance, with a particular focus on real-world experiences from AccountsIQ and GrowCFO.
Bringing together James Hunter (CFO, AccountsIQ), Kevin Appleby (COO & Podcast Host, GrowCFO), Pascal Virmaud (Director of Engineering, AccountsIQ), and Guy Weaver (AI Expert, GrowCFO), the discussion goes beyond hype to look at practical guardrails finance teams need in place. We’ll cover how to safely introduce AI into your finance stack, what good data security looks like in an AI-enabled world, and how to strike the right balance between innovation, control, and trust so that finance leaders can confidently adopt AI without compromising on risk standards.
Highlights:
- Why AI is becoming essential for modern finance teams, and where it delivers the most value in day-to-day finance operations.
- The key risks finance leaders worry about—data leakage, model accuracy, and regulatory exposure—and how to mitigate them in practice.
- How AccountsIQ approaches AI design and engineering to protect financial data while enabling powerful automation and insights.
- Practical steps for creating an AI usage policy for your finance team, including access controls, data governance, and approval workflows.
- Real-world examples from GrowCFO and AccountsIQ on using AI to enhance reporting, forecasting, and decision-making without losing human oversight.
- Guidance from the panel on how CFOs can build trust in AI across their teams, from early experimentation through to enterprise-wide adoption.
