Generative AI: Where the Money Really Is
Forget the 'Contact Us' button. The companies profiting from AI are using it to read contracts, audit accounts and write code.
Fabiano Brito
CEO & Founder
Generative AI is a tool for transforming unstructured data like PDFs, contracts, and audio into structured data like JSON, SQL, and Excel. For enterprises, this matters because it automates heavy operations and delivers massive ROI by replacing manual data copying with low-cost API calls.
In 2023, everyone put a chatbot on their website. In 2024, everyone realized nobody uses a chatbot for anything other than asking to "talk to a human".
The hype bubble burst. Now we're in the phase of boring utility. And it's in boring utility that fortunes are made.
Backstage AI > Stage AI
While the market was obsessed with generating pretty images on Midjourney, our corporate clients had real, messy problems:
- "I have 50,000 invoices in PDF and need to know how much I spent on ICMS."
- "I need to read 200 rental contracts and know which ones expire in March."
- "My tech support answers the same 'how do I reset my password' question 500 times a day."
Generative AI shines here. Not in "creativity", but in transforming unstructured data (text, image, audio) into structured data (JSON, SQL, Excel).
Real Case: The "Infinite Intern"
We recently implemented a system for a law firm. The problem: reading Official Gazettes searching for client names.
Gemini 1.5 Pro
man-hours freed
and that's just one case
Before: 4 paralegals reading PDFs all day. High cost, high human error, infinite tedium.
After: A Python script calling the Gemini 1.5 Pro API. It reads the PDF, extracts the case, qualifies urgency, summarizes the matter and drafts the client notification.
The real strategy is not "give employees ChatGPT". It's putting a model where your most expensive specialist is spending the day copying and pasting data.
Stop Playing, Start Automating
If your AI strategy is "give employees ChatGPT", you don't have a strategy. You have a toy.
The real strategy is: identify where your most expensive specialists are losing time copying and pasting data, and put a language model in the middle.
Frequently Asked Questions sobre Generative AI: Where the Money Really Is
What is the main return on investment (ROI) of generative AI? The ROI of generative AI lies in transforming unstructured data, such as PDFs and audio, into structured data, such as JSON and SQL.
How can generative AI be applied to repetitive and time-consuming tasks? Generative AI can be used to automate tasks such as reading documents, extracting relevant information, and drafting notifications, freeing up employees for more strategic activities.
What is a practical example of how generative AI can generate savings for a company? A law firm saved R$ 12,000/month by replacing paralegals with a Python script that uses the Gemini 1.5 Pro API to read Official Gazettes and identify relevant information.
What is the most effective strategy for implementing generative AI in a company? The most effective strategy is to identify where the most expensive experts are wasting time copying and pasting data, and implement a language model in that process.
Where is the hidden money in your operation?
In 30 minutes we identify the 3 processes with the highest ROI for applying generative AI to your business. No sales talk, no deck.