- What are the key considerations for AI in payments testing? Where does it excel, and where are its limitations?
- How can financial institutions use AI to create efficient, usable, and scalable testing setups without compromising the reliability and accountability required in regulated environments?
- How can financial institutions leverage AI to test in ISO 20022-based environments? What are the opportunities for AI testing as we move towards the next ISO 20022 milestones?
- What governance, controls, and auditability frameworks are required when integrating AI into payments testing within regulated financial environments?
- How can financial institutions balance AI-driven test generation and optimisation with the need for explainability, reproducibility, and regulatory transparency?
Payments testing has historically been a complex challenge for financial institutions. Strict validation, reliable regression testing, full traceability, and intricate regulatory requirements leave little room for error, especially as payment methods continue to diversify.
AI can be a key enabler in streamlining testing, improving automation, usability, and contextualisation — but only if set up appropriately. Particularly in ISO 20022-based environments, the probabilistic nature of AI systems can clash with deterministic nature of regulated testing where validation rules need to be continuously applied.
So, how can financial institutions create payments testing setups that leverage the best that AI has to offer without adding risk or friction? Creating hybrid testing models enables organisations to use AI complement analysis, insight generation, and efficiency gains, while deterministic systems remain responsible for execution and validation under human oversight. Especially as the ISO 20022 era has begun, AI-augmented payments testing can become a key differentiator for financial institutions.
Register for this Finextra webinar, hosted in association with Unifits, to join our panel of industry experts who will discuss the key considerations of AI in payments testing, its opportunities and limitations, and how financial institutions can develop effective hybrid models.