Case Studies
Four businesses used targeted automation to eliminate specific manual bottlenecks — from a 15-hour weekly data pipeline to fully automated patient intake — with measurable results below.
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The Problem
Agents were spending 15+ hours a week manually pulling property data from multiple listing services into client presentation decks.
What We Built
Built an automated data pipeline using Python and Make that scrapes listings, formats them, and generates presentation-ready PDFs on demand.
The Result
*Client details anonymized pending final approval.
The Problem
New patient intake required printing, filling out, scanning, and manually typing data from 4 different forms into their EMR system.
What We Built
Deployed a secure, HIPAA-compliant digital intake portal that automatically creates patient records and syncs data to their EMR.
The Result
*Client details anonymized pending final approval.
The Problem
Customer support was drowning in 'where is my order' and basic return policy questions during peak season.
What We Built
Trained and integrated an AI support agent that connects to Shopify to provide real-time order tracking and handle common policies.
The Result
*Client details anonymized pending final approval.
The Problem
Leadership had no unified view of metrics—revenue lived in Stripe, usage in a custom database, and leads in HubSpot.
What We Built
Created a centralized analytics warehouse in Supabase with a custom real-time dashboard visualizing cross-platform KPIs.
The Result
*Client details anonymized pending final approval.
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