3rd World Congress on Smart Computing
(WCSC2026)

Organized by  

Soft Computing Research Society

in Association with 

International Auditors for Digital and Data Management Association, Bangkok Thailand

Venue

Novotel Bangkok on Siam Square, Bangkok, Thailand

January 10-11, 2026 

The after-conference proceeding of the WCSC 2026 will be published in Springer Book Series, ‘Lecture Notes in Networks and Systems’.

Chaitanya Reddy

AI for Financial Integrity: Building Trust Through Intelligent Automation

Abstract:

As artificial intelligence becomes deeply embedded in financial services, maintaining trust, integrity, and regulatory confidence is as critical as driving innovation. This session examines how intelligent automation can be designed to enhance transparency, strengthen compliance, and enable proactive risk management within complex, data-intensive financial ecosystems. Drawing on real-world industry use cases, the talk examines how AI-driven workflows support enterprise risk management and regulatory obligations, including automated AML/KYC screening, cross-border transaction reconciliation, and suspicious activity detection. Rather than treating AI as a standalone capability, these examples demonstrate how embedding AI within robust quality assurance and data governance frameworks enables scalable oversight, auditability, and defensible decision-making without increasing operational complexity. The session further emphasizes the human and architectural dimensions of trustworthy AI adoption. It highlights the importance of cross-functional collaboration between compliance, engineering, and analytics teams to ensure that automated systems remain aligned with both business objectives and legal expectations. Attendees will leave with a practical roadmap for integrating AI into critical financial functions while preserving control, traceability, and accountability at scale.

Profile:

Chaitanya is a senior data engineering and quality assurance leader with over a decade of experience delivering and governing large-scale data, analytics, and AI-enabled platforms across highly regulated industries, including financial services, banking, healthcare, insurance, retail, and aviation. His work focuses on building trustworthy, audit-ready systems that support enterprise risk management, financial crime prevention, and regulatory reporting.
He has led and validated mission-critical initiatives involving AML and fraud detection, suspicious activity monitoring, and cross-border data reconciliation, ensuring compliance with stringent regulatory requirements. Chaitanya brings deep hands-on expertise across modern cloud ecosystems, including GCP (BigQuery, Cloud Composer, Airflow) and AWS (Glue, S3), as well as traditional enterprise data platforms such as Oracle, Teradata, DB2, and SQL Server.

A strong advocate for quality-first AI adoption, he specializes in embedding intelligent automation within robust QA and data governance frameworks, emphasizing explainability, traceability, and human-in-the-loop oversight. In addition to his industry work, Chaitanya is an active contributor to the global research community, serving as a reviewer and technical committee member for multiple international IEEE and Springer conferences, and regularly speaking on topics related to AI governance, data integrity, and scalable compliance.