Agentic AI is moving from experiments into real enterprise workflows. Join Fin and Snowflake for a candid conversation on what it takes to move from pilots to production—and what enterprise customers are actually buying today.

We'll explore the critical question facing leaders: when to build, buy, or do both. And we'll unpack what's non-negotiable when deploying AI at scale—from data foundations and reliability to trust and proof of value.

Drawing on Fin's experience deploying customer-facing AI agents and Snowflake's work powering enterprise-wide intelligence through Snowflake Intelligence and Cortex, we'll examine where enterprise AI adoption really stands and how requirements shift when AI serves customers versus employees.

What you'll learn

Where enterprises stand with agentic AI—what's in production, what's stuck in pilots, and why.
The non-negotiables for enterprise AI: data foundations, reliability, trust, ownership, and demonstrating ROI.
How to decide when to build vs buy, and how much customization enterprises actually need.
Why "consultingware" fails at scale, and how to balance self-serve products with enterprise flexibility.
How requirements change for customer-facing vs internal AI, and what that means for risk, accuracy, and adoption.

Speakers

Jordan Neill - COO, Intercom, Building Fin
Baris Gultkein - VP of AI, Snowflake

Who should attend

Product leaders, builders, designers and engineers who are looking to stay on the frontier of AI product development.

Fin x Snowflake Deploying Agentic AI in the Enterprise