Banks Add AI Agents, Keep Their 40-Year-Old Cores

Major banks are currently stuck in a technological tug-of-war that directly impacts your ability to offer modern financing. While lenders are eager to deploy flashy AI tools, many are still running on 40-year-old 'core' systems. This technical debt is the primary reason why your store might experience slow credit approvals, integration headaches, or delays in real-time payment settlements. About half of all financial institutions admit these legacy systems are their biggest hurdle to modernizing payments. For retailers and operators, this means the 'user experience' of a financing program is often just a thin layer of paint over rusty pipes. When a lender’s backend is fragmented, your staff deals with manual steps and broken data flows. The industry is currently trying to use AI 'agents' to bridge these gaps without actually replacing the old systems. While this might improve customer service chatbots in the short term, it doesn't solve the underlying issue of slow processing speeds. You should ask your financing partners about their core infrastructure stability. A lender with a modern, cloud-native backend will always be more reliable than a legacy bank trying to patch old software with AI stickers.

Source: PYMNTS

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