LLMs in Document Processing:
Where They Fit, Where They Don’t

November 13, 2025

09:00am PST

Enterprises are testing LLMs on document workflows yet struggle to separate hype from fit. This session gives you a clear decision framework to choose between LLMs and purpose-built IDP, and to combine them when it pays off.

We will map common document tasks to the right approach based on four criteria: accuracy, cost, latency, and compliance. You will see patterns and anti-patterns, ROI breakpoints, and real examples where LLMs add value, like summarization or enrichment, and where IDP is the reliable choice for extraction and validation.

Expect practical guidance, sample architectures, and measurable guardrails you can apply to current projects.

What to expect in this webinar

This expert-led session moves beyond the hype to provide a clear decision framework for applying AI to your document workflows. We will equip you with the insights to determine when to use Large Language Models (LLMs), when to rely on purpose-built Intelligent Document Processing (IDP), and how to combine them for maximum business value.

Join us to learn:

A clear decision framework for mapping document tasks to the right AI approach based on accuracy, cost, latency, and compliance requirements.
Proven architectural patterns and anti-patterns for integrating LLMs and IDP, including real-world examples of where each technology excels.
How to identify ROI breakpoints and apply measurable guardrails to your AI projects to ensure predictable, scalable results.
Practical guidance on using LLMs for tasks like summarization and enrichment, while leveraging IDP for reliable extraction and validation.

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Who should attend

This session is designed for professionals seeking to align technology choices with business objectives and ensure document-driven processes are reliably automated. Whether you are selecting between LLMs and IDP, or evaluating how to integrate GenAI responsibly, you’ll gain guidance on deploying the right approach for each use case—maximizing value while maintaining compliance and managing risk.

This session is ideal for:

IT and Automation Leaders responsible for identifying and implementing fit-for-purpose solutions, especially if you are actively piloting or scaling GenAI and want to ensure practical, risk-aware outcomes across your organization.
Business Analysts and Process Owners looking for actionable frameworks to assign the most effective technology to each document-centric workflow and achieve measurable performance improvements.
Compliance and Risk Officers who need assurance that new automation meets governance, audit, and regulatory standards—balancing innovation with control.
Finance and Operations Executives focused on achieving meaningful ROI from intelligent automation and building the business case for technology investments.
Innovation teams or early adopters experimenting with GenAI and seeking expert, real-world strategies for realizing value safely and aligning intelligent automation with enterprise goals.

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