Finance leaders are at an inflection point. Most finance functions are already automated, but very few are truly autonomous. Closing that gap raises hard, practical questions:  Which technologies actually matter? How do you make AI work with legacy ERP and fragmented data? Where do you build versus buy? How do you govern responsibly? And, most importantly, how do you deliver measurable business value beyond efficiency gains?

Join Genpact and Google Cloud for an invitation-only Catalyst Conversation with CFOs, finance transformation leaders, chief data officers, and AI executives on moving decisively from experimentation to real, measurable business outcomes in the Office of the CFO.
The conversation will center on a powerful shift: reorganizing finance for an AI-native world with human-led edges and an AI-run core. As transaction processing, controls, and reporting increasingly become AI-run infrastructure, finance leaders can focus human expertise where it matters most—strategic planning, judgment, and CFO advisory.

Together, Google Cloud's Gemini Enterprise and Genpact's agentic finance operating model are helping organizations build digital workforces of intelligent agents that can transform finance operations at scale. Organizations deploying agentic operating models are already realizing measurable outcomes, including +3% net revenue growth, +300 bps gross margin expansion, up to 70% lower cost-to-serve, 60%+ touchless processing, and a faster, fully compliant close.

Designed as a small-group, peer-to-peer experience, the evening will feature a fireside chat, followed by moderated executive roundtable discussions focused on the practical path from AI experimentation to enterprise-scale adoption.

Key Takeaways:

• Moving beyond AI pilots to scaled, measurable business outcomes
• Redesigning the finance operating model and roles for an AI-native world, treating organizational change as a core workstream, not a footnote
• Building a digital workforce of intelligent agents for the finance function with Gemini Enterprise
• Modernizing finance operations across record-to-report, procure-to-pay, and order-to-cash so agents run the routine flow end to end while people handle the exceptions
• Establishing the trusted data foundation required for agentic finance
• Measuring outcomes that matter to CFOs, including growth, margin expansion, cash flow, and productivity
• Determining where humans lead and where agents execute across the finance value chain