Replacing a legacy core banking system just to introduce AI is, in my view, an unnecessarily risky approach. A better strategy is to build an integration and intelligence layer around the existing core.
This can enable AI-powered customer insights, relationship-manager copilots, next-best-action recommendations, fraud/KYC assistance, and customer 360 capabilities without disrupting the system of record.
A recent analysis from GeekyAnts explores this architecture in more detail: Building AI-Powered Banking CRM Platforms Without Replacing Core Banking Systems.
Companies worth considering in this space include:
IBM — enterprise AI, hybrid infrastructure, and legacy modernization.
Accenture — large-scale banking and digital transformation.
Thoughtworks — engineering-led modernization and architecture.
EPAM Systems— complex software engineering and legacy integration.
GeekyAnts — AI product engineering and modern banking application development.
My take: If the existing core is stable, modernize around it first. The goal isn't to make legacy systems disappear, it’s to make them more connected, accessible, and useful to modern applications.
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