AI-Native Financial Agents for Modern Financial Services
If your team spends hours every week cross-referencing payment switch logs, bank statements, and core database exports just to trace a single failed transaction, you know how broken standard reconciliation is.
When transaction volumes scale across multiple rails, gateways, and borders, spreadsheets and traditional rule engines slow down. Unmatched entries pile up, customer support gets bogged down with chargeback tickets, and revenue leakage quietly creeps into your balance sheet.
Join us for a practical, 45-minute tactical breakdown on how forward-thinking financial institutions across Europe, Middle-east and Africa are using AI to automatically match complex payment legs, catch missing funds instantly, and resolve payment exceptions in real time.
This isn’t a high-level theoretical pitch. We are going straight into operational frameworks, real-world case studies, and actionable steps you can apply to your financial operations immediately.
What We Will Cover
The Root Cause of Reconciliation Lag: Why traditional matching rules fall apart when dealing with modern payment switches and third-party APIs.
Intelligent Auto-Matching in Action: How machine learning models clean unstructured data and match multi-leg payment flows with high accuracy.
Ending Revenue Leakage: How to catch hidden fees, write-offs, and stuck funds before month-end closing.
Live Case Study & Q&A: A step-by-step look at how a regional payment processor eliminated thousands of manual reconciliation hours.
Who Should Attend
Heads of Reconciliation & Settlement
Chief Financial Officers & Financial Controllers
Heads of Finance Operations & Payments
COOs and Engineering Leads at Banks, PSPs, and Neobanks
Event Details
Date: Friday August 28th, 2026
Time: 11:00AM (GMT +1)
Format: Virtual - Google Meet