The enterprise playbook for LLM-powered document workflows

Enterprises worldwide are looking at Large Language Models (LLMs) as a potential solution to boost productivity via automation. While the demos look impressive, real-world results can often fall short.

The hardest workflows to automate are those where human involvement is hard to eliminate—often involving complex documents. LLMs aren’t a magic fix for document extraction, but used the right way, they can drive big results—even up to 100%.

In this fireside chat, Shuveb Hussain, Co-founder & CEO of Unstract, dives into how enterprises can strategically use LLMs to automate complex, document-heavy workflows.

Register now. 

Here’s what the conversation will outline:

• Why Unstract was open-sourced—and how that shapes adoption and developer experience
• Why enterprises choose Unstract over building in-house or relying on general-purpose LLM tools
• How startups and Fortune 500s approach security, cost, and integration when adopting LLMs
• What goes wrong in LLM automation projects—and how human-in-the-loop design helps course-correct
• A look at Unstract’s roadmap, LLMWhisperer, and the evolving role of agents in automation

This conversation is for anyone looking to cut through the hype and turn LLM capabilities into real-world applications.

We look forward to having you join us on July 16th, 2025 at 10 AM PT. Can’t make it live? Register anyway—we’ll send you the recording.