RECORDING
Our panel covered technical enablers, security and compliance (including the EU AI Act), implementation challenges, and change management needed to make real-time capabilities stick.
The session featured insights from the following lineup of speakers:
- 🎙️Macer Skeels, CTO at FinanceKey
- 🎙️Marianna Polykrati, Seasoned Treasury Professional & treasuryXL Expert
- 🎙️Annette Gilles, Corporate Treasurer and Cash & Liquidity Strategist, treasuryXL Expert
- 🎙️Pieter de Kiewit, treasuryXL ambassador,will guide the discussion.
Key Takeaways
Annette Gilles
-
“AI is just not about crunching numbers; it can now do much more with text, visuals and contract analysis to detect risk and extract key clauses automatically.” Annette emphasized expanding AI use beyond numeric analytics to document understanding, covenant/contract analysis and risk detection.
-
“The earlier you start, the better you are up to date and state-of-the-art, so start small, learn, and invest in change management to scale effectively“. She stressed beginning now with small steps and managing the people and process side so benefits compound.
Macer Skeels
- “APIs give you seamless connectivity and synchronous data so treasurers can trust the numbers and take decisions with confidence rather than relying on overnight batches or manual consolidation.” Macer highlighted that API-first integration reduces friction and enables timely, trustworthy decision-making.
- “Compared to files left at rest, APIs let you revoke access quickly and automate governance, which can reduce security risks when controls are properly implemented.” Macer pointsedout that an API architecture, combined with governance, can strengthen operational security versus legacy file exchanges.
Marianne Polykrati
- “Real-time treasury in distress means survival visibility — you need immediate cash visibility to keep operations running and decide how to survive.” Marianna underlined that the purpose and priority of real-time capabilities depend on company context (distress, high growth, transformation, M&A).
- “You must have everyone on board — your CIO, IT and the business — and run iterative tests; culture and alignment are the biggest hurdles to implementation.” She emphasized change management, cross-functional alignment, and an iterative road map to succeed.
Conclusion
Real-time treasury is a capability built from clean data, API connectivity, and targeted AI use cases rather than a single product. Practical adoption starts small with focused use cases, rigorous data governance, and strong change management to bring stakeholders along. APIs not only speed data flow but—when governed—improve reliability and security compared with legacy file-based processes. The result is treasuries shifting from reactive reporting toward confident, timely decision-making that drives strategic value.
Question to ponder: If you had trusted real-time cash and exposure data, what one decision would you make differently today — and what single capability must you build first to enable it?
If you would like to exchange ideas on real-time treasury, connect with Macer Skeels.







