PROJECT 05Document AICLIENT PROJECT

Intelligent Email & Document Automation

Engineered and implemented for a client to monitor specific inboxes, use AI to read and classify documents, extract key information into structured data, and update the database autonomously.

The Challenge

Staff spent significant hours reading through unstructured emails, extracting attachments, and manually logging the data into the company database.

The Solution

Engineered and implemented for a client to monitor specific inboxes, use AI to read and classify documents, extract key information into structured data, and update the database autonomously.

How It Works

Step 1

Email/Document

Inbound communication received.

Step 2

AI Processing

System reads and comprehends the content.

Step 3

Classification

Categorizes the document type.

Step 4

Information Extraction

Pulls specific variables (names, dates, amounts).

Step 5

Structured Data

Formats the data for the database.

Step 6

CRM/Database

Securely logs the processed information.

Step 7

Automated Action

Triggers next steps in the business process.

My Role

Engineered the AI extraction prompts, built the document processing pipeline, and configured the secure database connections.

Technology

OpenAIPythonMake.comREST APIsPostgreSQL

Business Value

Eliminated manual data entry, reduced human error, and enabled highly scalable operations that run 24/7.

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