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Fraud Prevention and Security: Many payment orchestrators incorporate advanced frauddetection tools , leveraging machine learning and AI to identify and prevent fraudulent activities. This includes the cost of developers, consultants, or third-party vendors who specialize in payment integrations.
It encompasses various elements, including the target customer segment, value proposition, distribution channels, revenue streams, key resources, and coststructure. This generally follows a consulting business model where you charge by hour of work or project-based.
These developments will impact merchant compliance, coststructures, customer experience, and operational risk. Prepare financial models for potential savings or compliance costs post-ruling. Monitor PSR publications and respond to consultations via trade bodies. Why is it important? What’s next?
While the financial sector has often been slower to deploy new technologies than others, the proven benefits of AI – from better customer service to frauddetection – mean we can expect adoption to rapidly ramp up in 2025.” “Data is the big story in fintech” Renshaw says.
Immediate focus areas include fraud prevention, ISO 20022 readiness, and stablecoin regulationbut longer-term success depends on active engagement with consultations, operational resilience, and global alignment. ISO 20022 also unlocks improvements in frauddetection, regulatory reporting, and data analytics.
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