Live Webinar

Architecting document workflows that adapt to dynamic processing needs

Smart teams don’t rebuild document workflows every time business requirements change—they design them to adapt.

With static workflows, even small variations lead to duplicated prompts, fragile pipelines, and constant logic rewrites. As documents, rules, and integrations evolve, maintenance overhead quickly grows.

With Unstract’s latest feature updates, teams can build truly adaptive document workflows that respond dynamically to runtime context and post-processing needs—without reworking prompts or pipelines.

In this upcoming webinar, we’ll dive into these capabilities, including Custom Data Parameters, Post-Processing Webhooks, and Prompt Chaining.

Register now.

What this session entails:

  • Why dynamic document workflows are an imperative for today’s businesses
  • How to keep prompts stable even as business rules evolve
  • Passing runtime context with Custom Data instead of duplicating prompts
  • Using Post-Processing Webhooks for validation, data enrichment, and downstream actions
  • Building multi-stage workflows using Prompt Chaining
  • .. and more!

Learn how these capabilities work together to move beyond brittle extraction and build workflows that scale with change.

And if you can’t make it to the live session, register anyway, we’ll send over the recording!

The webinar recording is 
now available
Speakers
Picture of

Mahashree

Product Marketing Specialist, Unstract

We help fit unstructured documents into your business workflows

Unstract is document agnostic. Works with any document without prior training or templates.
Have a specific document or use case in mind? Talk to us, and let's take a look together.

Prompt engineering Interface for Document Extraction

Make LLM-extracted data accurate and reliable

Use MCP to integrate Unstract with your existing stack

Control and trust, backed by human verification

Make LLM-extracted data accurate and reliable

LATEST WEBINAR
How intelligent chunking makes LLMs better at extracting long documents
October 29, 2025
Watch Recording