Startups to F500: Document Automation Lessons at Scale

Hosted by Jason Liu and Eli Badgio

Wed, Jul 9, 2025

5:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

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Go deeper with a course

Systematically Improving RAG Applications
Jason Liu

What you'll learn

When to Automate vs. Augment Human Workflows

Learn decision frameworks for full automation vs. human-in-the-loop approaches based on error tolerance

Building Robust Evaluation and Validation Systems

Understand how to design testing frameworks that ensure document processing accuracy from project start

Scaling Document Automation Across Industries

Discover strategies for adapting automation solutions from startup environments to enterprise requirements

Why this topic matters

Document automation is critical as businesses process billions of documents daily - from contracts to invoices to compliance forms. Understanding when to fully automate vs. augment human workflows can save companies millions while preventing costly errors. Students will gain frameworks for building reliable AI systems that handle real-world complexity.

You'll learn from

Jason Liu

Consultant at the intersection of Information Retrieval and AI

Jason has built search and recommendation systems for the past 6 years. He has consulted and advised a dozens startups in the last year to improve their RAG systems. He is the creator of the Instructor Python library.

Eli Badgio

Co-founder and CTO at Extend

Eli Badgio is the co-founder and CTO of Extend, the YC-backed, AI-native document-processing cloud that just raised $17 million to help teams turn unruly PDFs into production-ready data with unmatched accuracy. businesswire.com 

Before launching Extend, Eli worked on automated support agents for shopify stores and helped build out the initial Partner Platform at Opendoor, sharpening his knack for developer-centric infrastructure  

worked with

Stitch Fix
Meta
University of Waterloo
New York University

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