Artificial intelligence is everywhere in finance conversations, including at NeuGroup meetings, where members are eager to understand how the technology will shape treasury. But as Ed Barrie and Randy DeVita of Treasury4 explain to NeuGroup’s Justin Jones in this episode of the Strategic Finance Lab podcast, AI is only as good as the data behind it.
Mr. Barrie, Treasury4’s co-founder and chief product officer, and Mr. DeVita, its vice president of customer success, describe how the company’s cloud-based analytics platform helps corporates transform fragmented information into structured insights that improve forecasting, reporting and reconciliation. They outline how years of banking history can be rapidly onboarded, defined and organized, creating the foundation for AI and machine learning to deliver meaningful forecasts and new visibility for treasury teams.
Both emphasize that adopting AI in treasury is a journey, not a flip of a switch. With the right structure, data moves from scattered puzzle pieces to a clear picture that allows corporates to connect transactions, spot exceptions and generate insights that support better decision-making.