Overview

A top digital advertising SaaS company partnered with StackAI to democratize access to customer data. By building an AI-powered text-to-SQL assistant, the company reduced reliance on analysts, freeing up 80+ hours monthly across sales and support. Teams now generate Snowflake insights in seconds using natural language queries, without touching SQL.

• 80+ hours saved monthly across sales and support teams

• 4 hours per week saved per user with just five active users

• 80% lower AI development costs compared to traditional builds

• 6 weeks from concept to production deployment timeline

The Problem: Data Bottlenecks Slowed Sales and Support

Sales and support teams regularly needed insights (like audience sizes, engagement trends, and purchase patterns) stored in Snowflake. But every request required a manual SQL query from the analytics team.

With 20+ hours weekly spent on repetitive requests, analysts became a bottleneck, sales cycles slowed, and support teams struggled to provide timely answers. The company needed a faster, more scalable way for business teams to access data—securely, accurately, and without waiting in line.

80+ Hours Saved Monthly, and Growing

Today, sales and support teams use the AI assistant daily to generate fast, reliable insights without touching SQL. With just five active users, the company already saves over 80 hours per month, roughly 4 hours per user, per week. As rollout expands to other teams, those gains are expected to scale dramatically.

The assistant went from concept to production in just 6 weeks, saving an estimated 80% of traditional AI development costs.

This company continues to expand its AI footprint with StackAI, making internal data smarter, more accessible, and radically faster to use.