Webinar | Secure AI for FS&I in 6 Weeks: Zero Data Movement, Zero PII Exposure

In this webinar, we’ll walk through how we built a natural-language AI layer on top of a financial institution's Snowflake data in just six weeks, eliminating the data team bottleneck and giving non-technical executives direct access to governed data.

Instead of leaving business leaders waiting days for SQL queries, we deployed a solution designed to:

• Connect non-technical executives directly to data using natural language while maintaining strict governance
• Eliminate the ad-hoc ticket queue that delays critical credit decisions and regulatory reporting
• Generate high-precision SQL in real-time using Snowflake Cortex Analyst and a semantic layer
• Bridge the gap between technical infrastructure and business usability across mixed structured and unstructured data

The result was not a theoretical model. It was a production-ready framework deployed in 6 weeks, mapped entirely to the bank's own compliance and data definitions.

What we’ll cover:

• The FS&I Data Bottleneck: Why a Snowflake migration alone doesn't solve data access—and what the ticket queue actually costs your business
• Live Demo of Cortex Analyst: Watch CRO, COO, and Head of Retail Banking personas query a live banking dataset in real-time
• Snowflake FSI Portfolio Case Studies: A walkthrough of 3 specific production deployments using Cortex Analyst, Cortex Search, and Document AI
• The Architecture Breakdown: How we built and deployed the semantic layer without compromising security or governance
• From Migration to Adoption: What we would change to accelerate business-user self-service if we started the project today