AI in Finance: Snowflake Expedition 2026 Recap for CFOs
Snowflake’s Expedition 2026 Day 3 focused on AI adoption in finance, emphasizing trust, governed data, and human oversight for CFOs managing month-end close and forecasting.
Finance leaders at Snowflake Expedition 2026 Day 3 highlighted that AI adoption hinges on trust, which requires governed data, clear ownership, and human judgment in critical processes like closing the books and reforecasting. Sessions underscored that finance teams must balance speed with accuracy while demonstrating the ROI of AI investments to justify adoption. The event offered seven targeted sessions for CFOs and finance executives to explore practical applications of AI in financial workflows.
Snowflake CFO Brian Robins opened the day with a keynote on trends shaping finance, while Yasmeen Ahmad of Workday introduced zero-copy integration between Workday Data Cloud and Snowflake, enabling direct data access. Gordon Lee of DoorDash shared how integrated data infrastructure and governance improved his team’s use of AI-driven workflows. The session concluded with a walkthrough of Snowflake’s own finance team’s continuous close cycle, modeled on AI-enabled processes.
Brian Robins and Stripe CFO Steffan Tomlinson discussed sequencing capital allocation and measuring ROI as AI moves from pilot to production, emphasizing the need to preserve auditability and human skills amid automation. Brad Floering of Snowflake outlined a practical approach to building an AI-first finance team, covering use case prioritization and maintaining governance and compliance during adoption.
Finance leaders from Northern Trust, Snowflake’s internal audit team, and EY presented case studies on AI’s role in regulated environments, including Northern Trust’s modernization efforts and EY’s tax data hub approach. Sessions also addressed cost management for AI initiatives, with frameworks for tracking AI spend and aligning FinOps discipline with generative AI adoption.