Case Studies
Practical AI automation builds, workflow improvements, and real examples from Finlay Systems.
Explore practical AI automation case studies from Finlay Systems. These examples show how AI can be used to reduce manual work, improve consistency, and turn messy operational workflows into clear systems.
The focus is not on flashy demos. Each case study is designed to show how AI can support real business outcomes, including faster follow-up, cleaner documentation, better internal processes, and more reliable day-to-day operations.
A Website You Instruct, Not Manage
Running finlaysystems.com Inside an AI Operating System
Finlay Systems replaced its SiteGround-hosted WordPress site with an Astro + Vercel stack it edits entirely through natural language, previewing every change on localhost before it goes live.
Claude Code · Astro · Vercel · GitHub · 21st.dev
Read the case studyFrom SD Card to Sent Invoice
An AI Operations System for a Real Estate Media Business
A real estate photo and video production business replaced a full-time assistant's admin workload with an AI system that runs shoot intake and client delivery end to end, triggered by a single spoken instruction.
Claude Code · Google Calendar · Notion · Dropbox · QuickBooks · Gmail
Read the case studyFrom Website Copy to AI-Readable Authority
An AEO/GEO Website Optimization Case Study
How Finlay Systems restructured its own site, schema, and content so AI tools can understand, cite, and recommend it.
ChatGPT · WordPress · BBH Custom Schema Plugin · Schema.org Validator · Google Rich Results Test
Read the case studyPortfolio buildFrom Handwritten Notes to Client-Ready Proposal
An AI Document Automation Build
A photo of handwritten jobsite notes becomes a polished, client-ready Google Doc proposal in under two minutes.
Airtable · Zapier · OpenAI GPT-4o (Vision) · Google Docs
Read the case studyPortfolio buildWhat these case studies show
Finlay Systems case studies are designed to show how AI can be applied to real workflows, not just used as a general-purpose chatbot.
Each example focuses on a practical business problem, the tools used, the workflow design, and the outcome. The goal is to make AI implementation easier to understand and easier to evaluate before investing in a larger system.