As financial systems grow in scale and regulatory complexity, traditional QA approaches struggle to keep pace with the volume of requirements, risks, and test artifacts that must be continuously reviewed and maintained. In regulated fintech environments, QA teams must balance speed, accuracy, and compliance—often relying on manual effort that does not scale. This session presents a real-world case study of how the Acba Bank QA organization evolved from manual, human-heavy processes to an AI-assisted quality ecosystem built around purpose-driven AI agents and a secure, in-house GPT platform...
Anna Petrosyan
QA Lead
Acba Bank
Anna Petrosyan is a QA Lead and Automation Engineering Manager working in the fintech and banking domain, where she leads quality strategy, automation, and AI-driven testing initiatives in highly regulated environments. Anna has over seven years of experience building scalable QA processes across complex enterprise systems, with a strong focus on risk-based testing, test automation, and modern quality governance. She is an ISTQB-certified professional, an ArmSTQB board member, and an ISTQB Affiliate, actively contributing to the international testing community as a trainer, mentor, and conference speaker. In recent years, her work has focused on designing AI-assisted QA solutions, including agent-based testing approaches and secure, in-house GPT platforms tailored for enterprise use. Anna is passionate about applying AI pragmatically to enhance quality, reduce manual overhead, and enable teams to focus on the most critical quality risks.