SAPinsider Expert Exchange – Season 1 – How to Build Trusted AI Outcomes in Treasury

In this edition of the SAPinsider Expert Exchange sponsored by Kyriba, How to Build Trusted AI Outcomes in Treasury guides finance and treasury leaders on how to move from experimentation with AI to governed, production-ready use cases that deliver reliable, explainable, and auditable results across liquidity, payments, and risk management. The series explores how to combine agentic AI, real-time data connectivity, and security-by-design so that CFOs and treasurers can respond faster to volatility while still meeting regulatory expectations and internal risk thresholds.

Episode 1 – Agentic AI in Treasury: Speed Without Sacrificing Trust

Dory Malouf & Felix Grevy explain how agentic AI delivers trusted outcomes by embedding governed intelligence and human-in-the-loop controls directly into treasury workflows, so organizations can gain real-time speed and scenario agility while preserving auditability, data integrity, and confidence in every decision.

Episode 2 – Precision, Data-Driven & Connectivity-Enabled Decision Making for Global Finance

Jean-Baptiste Gaudemet and Bob Stark, focus on building trusted AI outcomes through cleaner, better-governed data, advanced liquidity modeling, and API-led connectivity to SAP and banking systems, ensuring that AI-driven forecasts and recommendations reflect reality and can be relied on by CFOs in moments of uncertainty.

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Episode 3- Security and Transparency: Safeguarding Systems for Sustained Growth 

Kevin Bailey and Andrew Blair highlight that trusted AI outcomes in treasury depend on security-first architecture, transparent agentic AI, and unified finance–IT–GRC collaboration, enabling organizations to leverage real-time APIs and AI insights without exposing sensitive financial data or undermining regulatory and compliance obligations.