Document automation continues to evolve within the SAP ecosystem. With the 26.4 update of OpenText Core Capture for SAP Solutions, OpenText expands the application possibilities of generative AI in document processing, offering greater flexibility to tailor information extraction to the needs of each company.
The main innovation lies in the incorporation of custom fields and scenarios using GenAI. This is complemented by other improvements in the OpenText ecosystem, such as the new document comprehension capabilities of Capture Aviator and advancements in intelligent extraction and regulatory compliance.
Let's look at what these new features bring and how they can help continue moving toward more automated document processes.
GenAI in SAP: custom fields and scenarios
One of the main new features of OpenText Core Capture for SAP Solutions 26.4 is the expansion of GenAI capabilities to work with custom fields and specific scenarios.
This allows for adapting document processing to the unique requirements of each organization, rather than relying solely on standard configurations. Companies can define what information they need to extract and adjust automation scenarios to their own processes and documents.
In practice, this flexibility makes it easier to address more specific document use cases and expand the scope of automation within SAP.
OpenText is thus continuing to advance toward the concept of the Agentic Enterprise, where AI can take on a more active role in processes, while maintaining human oversight and control as fundamental elements.
OpenText Capture Aviator: greater capacity to understand complex documents
Another highlight in the 26.4 update of the OpenText Core Capture portfolio is its integration with OpenText Capture Aviator, an AI add-on designed to improve the understanding and extraction of information from documents.
This technology expands automation possibilities, especially when working with documentation that presents greater difficulties for traditional capture systems.
Key capabilities include:
• Complex tables: enables expanded automated processing of tabular structures that require interpreting information related across different rows and columns.
• Handwritten documents: facilitates data extraction from documents containing handwriting.
• Low-quality scans: improves the processing of documents where image quality makes reading and data extraction difficult.
• New document types: allows for extending automation to new or frequently changing documents with less configuration required.
In addition, Capture Aviator provides access to Large Language Model (LLM) extraction capabilities directly through OpenText, avoiding some of the complexity associated with managing licenses from third-party AI providers.
The goal is to increase the number of documents that can be processed automatically and improve the quality of extracted data, reducing the need for manual intervention.
AI-enhanced electronic invoice extraction and validation
The evolution of Core Capture also includes improvements in intelligent extraction and regulatory compliance.
In recent versions, OpenText has optimized the combination of GenAI and machine learning results for table extraction. These improvements allow for better data highlighting during validation and make better use of user corrections for system learning.
Standard information extraction related to different VAT rates has also been expanded, without the need to configure each case from scratch.
Electronic invoicing in Germany: improvements in XRechnung and ZUGFeRD validation
Also in the field of electronic invoicing, OpenText Core Capture for SAP Solutions 26.4 incorporates electronic invoice validation capabilities for the German formats XRechnung and ZUGFeRD, two fundamental standards for compliance with electronic invoicing in Germany.
These validations are performed in accordance with the official compliance schema of KOSIT, the German government's tool. The system generates a report with detected errors and warnings and includes specific fields with the number of issues of each type.
This information can be used in SAP Vendor Invoice Management (VIM) to activate standard or custom business rules, making it easier to identify and manage invoices that do not meet established requirements.
It should be noted that these checks were already included in the 26.3 update, so they should not be interpreted as a feature introduced for the first time in 26.4.
What do these new features mean for SAP automation?
The new GenAI capabilities and the evolution of document capture tools point toward the same goal: expanding the scenarios that can be automated and improving the quality of the information that reaches enterprise systems.
For finance and accounts payable teams, this can translate into fewer manual review tasks, more agile management of complex documents, and a greater ability to adapt processes to specific requirements.
The combination of intelligent extraction, business rules, and human validation allows for progress toward higher levels of automation without losing control over information or processes.
Get more out of document automation in SAP with Brait
At Brait, we help companies integrate and optimize document management and automation solutions within their SAP environment.
As specialists in the SAP and OpenText ecosystem, we support our clients in the implementation and evolution of solutions such as OpenText VIM, Core Capture, Extended ECM, and Archive Center, connecting technology with the real needs of their processes.
Shall we talk about how to take document automation a step further in your company?
