Next-gen intelligent document processing: 2025.10 updates

Traditional intelligent document processing (IDP) tools were built to handle structured documents like forms, invoices, and other predictable layouts. GenAI extends that capability to the rest: information-dense contracts, customer correspondence full of context, medical reports with charts and tables, or multi-page financial statements with inconsistent structures.

Unlocking that data can transform how organizations make decisions and automate processes, but only if it can be done reliably, because:

• Large language models (LLMs) are flexible but can be inconsistent. They interpret meaning but don’t always produce structured, repeatable outputs.

• Build-your-own approaches are complex. Stitching together cloud models, APIs, and vector databases requires scarce AI talent, comes with security risks, and is hard to maintain.

• Most pilots never scale. Without governance, quality checks, and operational control, the jump from demo to production remains elusive.

From documents to decisions: unlocking enterprise data at scale

We introduced UiPath IXP (Intelligent Xtraction & Processing) earlier this year as the next chapter in intelligent document processing. It provides a governed framework for applying GenAI to enterprise content, turning structured, semi-structured, or unstructured documents and messages into clean, usable data that flows directly into agentic workflows and automations.

It brings together three layers of capability:

• Document Understanding and Communications Mining, the proven foundation for structured and semi-structured documents, and unstructured communications

• Generative extraction for unstructured documents, a prompt-driven capability for high-complexity, variable, or entirely unstructured documents

• Built-in governance, with model versioning, attribution, and human-in-the-loop validation to ensure accuracy and accountability

Under the hood, IXP combines foundation models with specialized models to balance flexibility and control. Foundation models provide flexible reasoning and zero- or few-shot learning to interpret new or unfamiliar document types. Specialized models are smaller, faster, and fine-tuned for specific use cases. They provide the attribution and confidence scores required for audit and run with higher throughput and lower latency. Together they give enterprises both adaptability and control.

What’s new in IXP

Agentic extraction and advanced data processing

Complex, lengthy documents like contracts, loan packets, or engineering reports are notoriously difficult for traditional IDP systems. IXP introduces intelligent pre- and post-processing that combine specialized models for different document elements, plus advanced validation features like table enrichment and layout detection.

• Agentic looping enables dynamic chunking and iterative reasoning, letting IXP handle 50-page or 500-field documents with speed and precision

• A fine-tunable model continuously learns from human feedback, getting smarter with every annotation or exception

Enterprises can extract data from their largest, most variable documents quickly, accurately, and at scale. No more “these 5% of cases still need manual review.”

IXP as a tool for agents

Enterprises are increasingly using AI agents to handle document-heavy work—from onboarding forms to compliance reviews. IXP is now available as a native tool for both low-code and coded agents, with built-in validation station integration, making document intelligence a native part of agentic workflows to close the gap between data and decision. Agents can not only read and extract, but also validate and act.

This means you can build specialized data extraction and validation agents that know how to parse, cross-check, and correct documents autonomously. In later phases, UiPath will deliver curated IXP agent templates complete with business checks, exception handling, and reconciliation logic to help teams deploy expert extraction agents in minutes, not months.

Agentic validation apps

Some validation scenarios like verifying a contract against a system of record or comparing multiple documents for discrepancies are too complex or non-deterministic for static rules. This is where Agentic Validation Apps come in. They are purpose-built templates for advanced review scenarios for complex checks such as cross-document comparisons and system-of-record reconciliation. You can start with ready-to-use templates for:

• Cross-document checks

• Dynamic document sets

• System-of-record cross-reference

Agents flag only true exceptions for review, increasing straight-through processing and reducing manual effort.

Autopilot for IXP

Schema creation is one of the most tedious parts of document automation. Now in preview, UiPath Autopilot™ for IXP generates schemas automatically from sample documents and context, turning days of configuration into minutes. Developers and citizen developers alike can go from sample document to automation-ready schema in minutes. It’s fast, consistent, and aligned with the broader UiPath Autopilot experience across Studio and Agents.

The "X" in IXP

UiPath has been investing in this space for years, and IXP is the latest evolution of that long-standing commitment to helping organizations automate document-based processes at scale. Recent updates continue this momentum, advancing data extraction, accelerating time to value, reducing manual work, and unlocking automation across new document types.

The ‘X’ in IXP stands for more than extraction. It represents the expanding diversity of content and data types enterprises can now process with confidence. And when combined with UiPath Maestro™ orchestration and agentic automation, every insight flows directly into decisions, actions, and measurable outcomes.

UiPath IXP has been named a Leader in the Gartner® Magic Quadrant™ for Intelligent Document Processing Solutions and it’s also recognized as a leader by IDC, Everest Group, and other major analysts.

Curious to learn more? Explore IXP.