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Puneet
Thakkar
Enterprise Systems Architect, AI and Infrastructure
Google
Puneet Thakkar is a globally recognized authority in Digital Finance Transformation and Enterprise Systems Modernization. He is the architect of the "Process-First" framework for xP&A and the "Agentic Finance" operating model - methodologies designed to bridge the gap between legacy financial operations and future-state autonomous enterprises. Currently the Finance Process & Systems Transformation Lead at Google, Puneet spearheads the multi-year transformation strategy for a multi-billion-dollar cost base, re-engineering core P2P and R2R workflows. His focus is on operationalizing Agentic AI and open-source protocols to unlock predictive insights and enterprise scalability. His reputation for building resilient architectures was cemented at Western Digital, where he directed the complex integration of three Fortune 500 entities - a modernization effort cited by IDC as a benchmark for the "Live Enterprise." A dedicated industry advocate, Puneet shapes industry standards through his service on invitation-only advisory bodies, including the HFS Research OneCouncil, the Executive Council for Leading Change (ECLC), the PEX Network Executive Board, and the Intelligent Automation (IA) Forum. His research on AI-driven financial optimization has been featured in IEEE conference proceedings and his authored chapter in the book AI in Financial Services.
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20 May 2026 13:00 - 13:45
Panel - Scaling AI in finance: Balancing speed, control, and accountability
AI is being pushed deeper into finance workflows, and expectations around speed, insight, and scale are rising with it. At the same time, finance still owns control, auditability, and accountability. As AI starts to influence decisions, finance leaders are rethinking how governance is applied, how controls are designed, and how risk is managed in environments where outputs are less deterministic. This panel brings together leaders working through that in practice. The discussion will focus on how AI is being embedded into controlled environments, where governance is being adapted, and how accountability is defined as AI becomes part of decision-making. It will also explore how teams are avoiding overly rigid controls that slow progress, while still maintaining the standards expected of finance. Expect a candid conversation on what holds up under scrutiny, what needs to change, and how finance teams are scaling AI while maintaining control. Key takeaways: - Understand how governance and control frameworks are evolving as AI becomes embedded in finance workflows. - Learn how to balance speed and innovation with trust, accountability, and auditability. - Hear how organisations are defining ownership and managing risk as AI begins to influence financial decisions.