Building Scalable AI-Enabled Enterprises

Q1. Which transformation or finance leadership roles gave you the greatest ownership over operational outcomes, cost optimization, or strategic decision-making, and what was the scale of impact involved?

As technology continues to transform finance, it’s more important than ever for finance leaders to understand how to use automation and AI to make operations run smoothly. When I started working on finance transformation at Genpact in 2015, many organizations were just experimenting with RPA. Now, intelligent automation is both scalable and widely adopted. At Genpact, Agilent, and now Accenture, I’ve focused on bringing together smart process design, the right technology choices, and hands-on delivery to help finance teams work faster, keep costs down, and strengthen controls.
Key responsibilities and approach
• End-to-end ownership of finance process transformation, from opportunity identification through vendor selection, implementation, and post go live governance.
• Technology-first decision making: prioritize solutions (RPA, ML OCR, ERP automation) based on volume, cost-to-serve, and ROI.
• Delivery and Transformation mandate: run pilots quickly, measure outcomes, and scale proven solutions while embedding continuous improvement and control frameworks.
Representative initiatives and outcomes
• Reduced manual journal entries by 33% through process redesign and targeted automation.
• Implemented ML OCR for invoice processing…