Scan, Extract, Automate: A Guide to Azure Document Intelligence

How much time do you spend manually scanning, reviewing and processing documents?

In this talk, we’ll explore how organisations can automate document-heavy workflows using Azure’s Document Intelligence capabilities. From HR, to finance and legal, many teams deal with repetitive, manual document processing that can slow down operations and introduce the potential for human error.

Join Rhys Smith, Principal Software Engineer, who will explore how to automate the scanning and extraction of structured data from digital documents, with a focus on integrating this data into wider processes. Comparing ready-to-use AI models to custom-trained approaches, Rhys will provide a technical overview and demo of real-world implementation approaches.

Whether you’re looking to speed up internal operations or reduce manual effort in document handling, this talk will highlight how automation can help to deliver measurable efficiency improvements.

What we’ll cover:

• Automating document processing – the why?
• Real world use cases – from HR to finance and legal
• Azure Document Intelligence – what it does and where it fits in architectures
• Pre-built vs custom models – a comparison
• Demo – a live walkthrough of Document Studio with a C# console app
• Lessons learned and best practices – what worked and things to consider

This talk is designed for technology leads, senior software engineers, engineers and product owners who are exploring intelligent automation within their teams. Whether you’re beginning to evaluate AI-powered document processing or looking to optimise existing workflows.