{
  "id": 6401443,
  "title": "Banks Turn Card Replacement Into a Single AI Workflow",
  "url": "https://urgent.news/2026/09/09/banks-turn-card-replacement-into-a-single-ai-workflow",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-09T08:00:55.000Z",
  "source": {
    "name": "PYMNTS",
    "slug": "pymnts",
    "url": "https://www.pymnts.com/news/artificial-intelligence/2026/banks-turn-card-replacement-into-a-single-ai-workflow/"
  },
  "original_language": "en",
  "account": "Financial institutions are grappling with the transition of artificial intelligence from analysis to execution. While 52% of banks have experimented with agentic AI, only 16% have fully integrated production use cases, according to a PYMNTS Intelligence study. The issue lies in the infrastructure's ability to execute AI-driven decisions. Card replacement presents an ideal case study. A single lost card can trigger multiple processes, from address verification to communication. Traditionally, these functions were handled sequentially, leading to inefficiencies. Modern issuing platforms, however, treat card replacement as a unified, real-time process, orchestrating tasks across systems. This shift exposes a gap between AI maturity and operational maturity. APIs, interoperable data, and orchestration tools that once aided product launches and system integration now serve as the backbone for autonomous decision-making. A streamlined issuing platform can transform routine inquiries into proactive notifications, simultaneously providing the infrastructure for autonomous AI operation. Banks are not merely upgrading outdated systems but constructing the execution environment for AI to generate value. The competitive advantage lies not just in AI's intelligence but in the supporting infrastructure - proprietary data, institutional rules, APIs, and the seamless transition from decision to action. The next phase of AI in financial services will hinge on the ability of banks to execute business processes with AI, making it a strategic race worth winning.",
  "summary": "Banks have spent the past several years asking whether artificial intelligence can make better decisions. The more important question is becoming whether their infrastructure can execute those decisions. While 52% of banks have piloted agentic AI, just 16% have fully deployed production use cases, according to data cited in the September edition of the AI-Ready […] The post Banks Turn Card…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}