Our final XLcompass of the summer is coming up — and we have a strong line-up for a timely discussion on Treasury Automation That Works.
Treasury teams are under constant pressure to do more with less. Manual processes, disconnected systems and repetitive work can slow teams down and make it harder to get the right information at the right time.
Automation and AI can change that — but only when they solve real treasury problems and deliver results in day-to-day work.





Live Session: The present and future of corporate payment processes
26-07-2023 | treasuryXL and TIS would like to invite you to join us for an exciting live session on the topic of: “The present and future of corporate payment processes”
Why Corporate Treasurers should (not) go to Money 20/20
06-07-2023 | Recently, Pieter de Kiewit attended Money 20/20. In this blog he talks about whether corporate treasures should (not) attend.
Live Session: The Impact of Economic Events on Working Capital Management
07-06-2023 | treasuryXL and Kyriba would like to invite you to join us for an exciting live session on the topic of: “𝐓𝐡𝐞 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜 𝐄𝐯𝐞𝐧𝐭𝐬 𝐨𝐧 𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐂𝐚𝐩𝐢𝐭𝐚𝐥 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭.”
Successful Career Moves in a Changing Market
05-06-2023 | Amid a changing career landscape, treasurers looking to make a career move may face significant shifts in the labour market. As employers struggle with their own unique challenges, TMI sat down with Pieter de Kiewit, treasuryXL ambassador & owner of Treasurer Search, to shed light on the changing dynamics between potential employees and employers in the modern employment landscape.
LIVE SESSION | Trade Finance Trends: Innovations and Disruptions
03-05-2023 Nomentia and treasuryXL are delighted to invite you for an insightful discussion on the latest Trade Finance Trends: Innovations and Disruptions.
AI in treasury recruitment; great … but!
01-05-2023 | Also we are smitten by how great ChatGPT is and are discovering the various applications in our work. We only scratched the surface I think. Without pretending to be experts there are two practical and ethical aspects we think you should know and think about. The first is the built-in bias AI tools have, the other is the human factor that is a must in finding each other.