FTI Treasury Talks: AI and RPA – Shaping the Future of Corporate Treasury Operations
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About this Episode
We are pleased to announce the seventh episode of our new series, FTI Treasury Talks: Conversations with the Experts. Our series aims to provide valuable insights and practical strategies in Treasury Outsourcing, In-House Banking Solutions, and Corporate Services. FTI Treasury Talks aims to provide a platform for treasury professionals to deepen their understanding of critical topics.
Whether you’re an experienced treasurer or someone new to the field, this episode delves into “AI and RPA: Shaping the Future of Corporate Treasury Operations,” featuring Justin Callaghan, CEO at FTI Treasury, and Shane O’Keeffe, Head of Innovation at FTI Treasury. This session uncovers how AI and Robotic Process Automation (RPA) are transforming treasury operations and paving the way for more efficient, data-driven decision-making.
With the growing prominence of AI organizations are exploring how these technologies can enhance efficiency, reduce risks, and support strategic decision-making.
While RPA focuses on automating rule-based processes such as reconciliation and cash forecasting, AI goes a step further by analyzing trends and external data, enabling more informed decision-making. Implementing these technologies requires well-structured processes, cultural adaptation, and investment in third-party software. Our experts provide key insights into the benefits and challenges of AI and RPA adoption in treasury operations.
Key Takeaways from the Discussion
- AI vs. RPA
- RPA in Treasury Operations
- AI Enhancing RPA
- Operational Efficiency
- Cultural Change
- Strategic Insights with AI
- Implementation Considerations
- Future Outlook
As AI and RPA continue to evolve, their role in treasury operations will likely expand, offering new opportunities for automation and strategic decision-making. Stay tuned for more insights from FTI Treasury Talks as we explore the future of corporate finance and technology.
Guest / Speakers
Justin Callaghan
Shane O’Keeffe
Key Topics covered
Why this matters
Automation is no longer a future consideration for corporate treasury, it is already redefining how the function operates. As transaction volumes grow and reporting requirements become more demanding, manual processes struggle to keep pace, exposing treasury teams to inefficiency and avoidable error. AI and RPA offer a route to greater accuracy, speed, and resilience across core operations.
The distinction between the two technologies matters because each addresses a different challenge. RPA delivers immediate efficiency by automating repetitive, rule-based work, while AI adds a layer of intelligence that supports forecasting, risk management, and strategic planning. Used together, they allow treasury to shift from a largely operational role towards a more analytical, decision-focused one.
For organisations weighing up adoption, the stakes are significant. Those that integrate these tools effectively stand to reduce costs, sharpen decision-making, and respond more quickly to market change. Equally, understanding the practical demands of implementation, from process design to cultural readiness, is essential to realising that value rather than simply investing in technology for its own sake.
About FTI Treasury Talks
Expert conversations on treasury management, risk, technology, and in-house banking — designed for treasury professionals, CFOs, and finance leaders.
