Sai Kiran Nandipati
Biography
Sai Kiran is a digital transformation leader with 10+ years of experience architecting and implementing scalable BPM solutions across financial services, healthcare, and government domains. With deep specialization in Pega systems, his expertise spans enterprise automation, real-time decisioning, AI-powered debt recovery, and customer-centric service modernization. Sai is a certified Pega Lead System Architect (CLSA) and has led multiple global transformation programs, including the full-scale modernization of debt collection platforms and claim lifecycle systems for Fortune 100 banks. His work emphasizes hyperautomation, intelligent orchestration, and ethical AI integration into mission-critical workflows.
Research Interest
Digital Transformation, Business Process Management (BPM), Explainable AI, FinTech Automation, Risk Orchestration, Compliance by Design, AI Governance, Real-Time Decisioning, Financial Services Innovation
Abstract
Explainable AI in Financial Workflows: Blueprint for Scalable Digital Transformation
Abstract
As financial institutions accelerate digital transformation, the convergence of AI, automation, and business process management (BPM) is redefining core operations from customer onboarding to risk governance. This session explores the next generation of intelligent financial systems that embed explainable AI directly into BPM workflows, delivering transparent, regulatory-aligned decisions at scale.
The talk presents applied strategies for integrating machine learning models into real-time business process pipelines for fraud detection, loan underwriting, and compliance tracking. Drawing from field implementations, it showcases how BPM-driven orchestration enables traceability, modular governance, and policy-driven automation. Attendees will learn how to design systems that not only optimize throughput but also maintain explainability, audibility, and ethical integrity, critical for navigating financial compliance and consumer trust in the AI age.
This session targets FinTech leaders, solution architects, and AI researchers aiming to operationalize AI responsibly within digital banking ecosystems.
