{
  "id": 13061500,
  "title": "Understanding The Tricky Side Of Banking's New AI Craze: Scalable Reliability With Jayanth M Prasanna",
  "url": "https://urgent.news/2026/10/09/understanding-the-tricky-side-of-bankings-new-ai-craze-scalable",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-09T06:54:03.000Z",
  "source": {
    "name": "Free Press Journal",
    "slug": "free-press-journal",
    "url": "https://www.freepressjournal.in/focused-view/understanding-the-tricky-side-of-bankings-new-ai-craze-scalable-reliability-with-jayanth-m-prasanna"
  },
  "original_language": "en",
  "account": "In the rapidly evolving banking sector, a primary concern for financial institutions is the reliability of systems powered by artificial intelligence (AI). As banks expand their digital services, the need for systems that can handle high volumes of transactions, such as KYC verification, AML screening, and cross-border payments, has become increasingly important. However, these systems must also adhere to strict regulatory standards and maintain operational resilience.\n\nJayanth M Prasanna, a Senior Software Quality Assurance Analyst at Commercial Banking in North America, plays a critical role in addressing these challenges. With over 21 years of experience in the field, Prasanna has been instrumental in driving scalability, reliability, and compliance within banking systems. His expertise lies in quality engineering, performance validation, and enterprise technology transformation, particularly in highly regulated banking environments.\n\nPrasanna's work spans a wide range of areas, including KYC, AML, sanctions screening, SWIFT payments, and enterprise technology transformation programs. He is responsible for developing scalable quality engineering practices and regulatory technology approaches, aligning with industry standards and shaping the modernization of the North American financial services industry. By integrating quality assurance into the development process, Prasanna ensures that systems are reliable, efficient, and compliant from the outset.\n\nOne of Prasanna's key insights is that quality assurance should not be treated as an afterthought but is an integral part of the development process. He emphasizes that performance, compliance validation, operational resilience, and risk management must all be considered from the beginning. This holistic approach has helped organizations reduce production issues, improve software release efficiency, and strengthen testing processes.\n\nPrasanna's expertise extends beyond traditional banking environments, earning him recognition among technology and financial services professionals across North America. He has even served as a judge at the AITEX Summit: Spring 2026, an international AI competition, where he evaluated leading specialists in quality engineering and system reliability.\n\nThe importance of Prasanna's work is further highlighted by the increasing reliance on AI-powered quality management and business continuity strategies. As banking systems become more automated and scalable, the need for professionals like Prasanna to ensure their reliability and adherence to regulatory standards is paramount. His contributions are vital to maintaining stability and fostering innovation in the digital transformation of the banking industry.",
  "summary": "As banks invest heavily in systems powered by artificial intelligence (AI) to meet and compliance regulations, cloud adoption and real-time payment infrastructure, there is one thing that the financial sector is finding difficult to ignore: reliability. Today financial institutions have to deal with a world in which a few minutes spent on KYC verification, AML, sanctions screening, or…",
  "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."
}