Unlock the Power of Pega Document AI: Your Complete Guide to Pega Infinity 26

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Unlock the Power of Pega Document AI: Your Complete Guide to Pega Infinity 26

Pega Document AI, a feature built to automatically extract structured information from unstructured business documents.

Instead of manually reviewing invoices, application forms, identity documents, or supporting evidence, Pega Document AI analyzes the document, identifies the relevant fields, and converts them into structured data ready to use directly inside a Pega case. For organizations looking to reduce manual document handling and speed up case processing, this is a significant step forward in Pega’s low-code AI strategy.


Pega Document AI Demo Covers

This step-by-step demo of Pega Document AI walks through:

  • Configuring Document AI in Pega Infinity 26
  • Creating and setting up a Pega Document AI component
  • Uploading a business document into Pega for processing
  • Running Pega’s AI-powered document extraction
  • Reviewing the extracted fields for accuracy
  • Mapping extracted values directly into the Pega case
  • The full end-to-end flow within Pega, from document upload to structured, usable data

The goal is simple: show how quickly Pega Document AI can be configured with minimal setup effort while integrating seamlessly into a standard Pega case workflow.

Demo: Click here


Why Pega Document AI matters for Pega Applications

Manual document review remains one of the biggest bottlenecks in case processing across industries — and Pega is solving it natively. Common examples where Pega Document AI adds value include:

  • Loan applications
  • Customer onboarding documents
  • Government forms
  • Insurance claims
  • Identity verification documents
  • Financial statements
  • Supporting evidence and attachments

Pega Document AI automates this critical first step, letting case processing begin far sooner while cutting down on manual effort and human error.

Because Pega Document AI is natively embedded in the Pega platform, the data it extracts can immediately drive:

  • Pega case routing
  • Pega business rules
  • Pega decisioning
  • Pega workflow automation
  • Pega Agentic AI experiences
  • Downstream system integrations via Pega

This reflects a broader theme across the Pega platform in Pega Infinity 26: AI isn’t bolted on as a standalone tool — Pega weaves it directly into intelligent workflow and case automation.


Confidence Scores in Pega Document AI (Available from Pega Infinity 26.1.1)

While this demo focuses primarily on configuring Pega Document AI and the end-to-end extraction flow, it’s worth calling out an important related Pega capability: confidence scores, available starting in Pega Infinity 26.1.1.

Pega’s confidence scores indicate how certain the AI model is about each extracted field value, and within Pega they can be used to:

  • Automatically accept high-confidence extractions
  • Route low-confidence fields for human review inside Pega
  • Improve overall operational efficiency across Pega case types
  • Increase trust in AI-assisted document processing on the Pega platform

For organizations building human-in-the-loop governance into their Pega-powered automation, confidence scoring is a key control point — helping teams strike the right balance between automation speed and accuracy, all within Pega.


Key Takeaways: Pega Document AI in Pega Infinity 26

After watching the demo, you’ll know how to:

  • Configure Pega Document AI in Pega Infinity 26
  • Process business documents using Pega’s AI-powered extraction
  • Convert unstructured documents into structured, Pega-ready data
  • Integrate extracted information directly into Pega case processing
  • Apply Pega confidence scores (from 26.1.1 onward) for smarter validation and review routing

Final Thoughts

Pega Document AI dramatically reduces the effort needed to turn unstructured documents into actionable business data. With native integration into Pega Infinity 26, organizations can accelerate case processing, improve data quality, and enable smarter automation — all within the Pega platform and without relying on complex custom integrations.

I hope this walkthrough helps anyone exploring the new AI capabilities in Pega Infinity 26. I’d love to hear how you’re planning to use Pega Document AI in your own Pega applications — and what use cases you’re exploring. Share your thoughts in the comments below.


Tags: Pega, Pega Infinity 26, Pega Document AI, Pega Confidence Scores, Pega AI, Pega Intelligent Automation, Pega Low-Code AI, Pega Case Management

Hi @RameshSangili Can you please confirm what exactly the Confidence Score represents with respect to property value extraction? Does it indicate the accuracy or confidence level of the extracted value?

Hi @VenkateswararaoK, Confidence score extraction is available from 26.1 onwards. The confidence score is available at each property level. I’m working on a demo and will be published shortly.

Hi Ramesh,

Thank you for the post.

I am using Pega Infinity 26.1.1 and trying to create a GenAI Connect rule with document data extraction.

I understand there should be an option:

“Enable Document Agent to extract information from documents”

However, this option is not available when I create a GenAI Connect rule in my current application.

Could you please advise how to enable Document Agent at the application level?

Is there any specific application setting, feature toggle, or prerequisite that needs to be enabled?

Thanks in advance.

Hi Arun,

Please enable the documentAgent Toggle to see the checkbox. Please find the below screenshot for your reference.

Yes, I enabled it, but I didn’t realize that I needed to create DocAI Connect rule instead of a GenAI Connect rule. I am using Infinity 26.1.1. version. Configuration has changed a slightly in the latest release.

Yes, starting 26.1.1 onwards, we have to create a Doc AI Connect for document Analysis.

Might also be good to know that for GenAI Connect rules created in Infinity 26.1 that process documents, an option is provided to upgrade them to DocAI Connect rules in 26.1.1, if you want to.
So, there is no need to rebuild them from scratch.

Great point! Thank you @Tim_Straatsma !! Is there an utility or configuration required or seamless behind the scenes during the upgrade to 26.1.1?