With numbers to prove it.
Explore all use casesTwo staff spent a week manually processing ad data. Now, they query millions of records in 20 minutes for instant strategic updates.
Data scattered across systems blinded leadership. Staff now query trends in plain English, cutting reporting from weeks to hours.
Simple requests consumed half the data team’s time. Business teams now query via natural language, freeing experts for modeling.
Manual data stitching bottlenecked insights. A unified AI hub now saves analysts 8 hours weekly, cutting research time to minutes.
Solopreneurs guessed at growth tactics. AI now queries 10+ data sources to trigger specific SEO and pricing workflows.
Staff manually navigated multiple systems. AI now unifies data to trigger real-time actions, delivering 27x faster query processing.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Root cause analysis was manual. AI agents now scan 30 production sites to isolate bottlenecks automatically.
Traditional tools couldn't link $50k spikes to features. Claude now maps spend to specific code, letting teams trace costs instantly.
Understand what's working with 2,873 recent AI case studies with quantified results. We break down every case study the same way, so you can find and prioritize high-impact strategies for your exact context.