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    When AI Doesn't Just Understand, But Acts

    Agentic AI refers to AI systems that work autonomously toward a goal within a defined framework. An AI agent can analyze information, incorporate various data and systems, prepare decisions, and trigger the next steps in the process based on the outcome.

    This offers tremendous potential, particularly in document-intensive business processes: documents are no longer merely recognized, classified, and read. AI agents can review and verify the information obtained and derive concrete actions from it—ranging from the next process step to targeted follow-up inquiries when information is missing.

    This makes Agentic AI relevant wherever documents and the information they contain drive business processes—for example, in insurance and banking, industry and retail, healthcare, or the public sector. AI agents can be deployed across industries and tailored to the respective documents, processes, and business requirements.

    Agentic AI for Your Industry

    Our AI Agents for Document-Based Processes

    We develop specific agent-based applications wherever they create measurable added value in business processes.
    Verification
    Agentic Verification – More Touchless Processing
    What happens when an extraction result isn’t clear enough for fully automated further processing? Today, that means manual verification. This is exactly where Agentic Verification comes in. The agent reviews extraction results and helps process more transactions without manual intervention. The goal is to significantly increase the touchless rate while maintaining high processing quality. This creates a direct economic benefit: The more transactions that can be reliably processed in the background, the lower the manual effort required. Agentic Verification is designed for cross-industry use and can be deployed in various extraction scenarios. The added value: more dark processing, less manual review, and greater flexibility than with traditional customization.
    Accounting
    Auto Accounting – AI-Powered Account Assignment
    Even after an invoice has been automatically captured, there are still tasks that require subject-matter expertise. Auto Accounting assists in the automated identification of appropriate general ledger accounts for incoming invoices. To do this, it uses the available invoice information to intelligently prepare the account assignment and further automate the subsequent purchase-to-pay process. The solution is designed to be industry-agnostic and can reduce manual steps even further, especially when integrated with automated invoice processing.
    Response
    Agentic Response – When the Process Asks on Its Own
    Missing information, incomplete documentation, or unclear submissions lead to manual communication loops in many processes. This is exactly where Agentic Response comes in. The approach: If the AI detects that information is missing for further processing, an agent can prepare or initiate the necessary communication and feed the response back into the process. This creates a seamless cycle: Understand → Verify → Identify missing information → Respond → Continue the process. This approach is particularly relevant for document-intensive processes in manufacturing, insurance, financial services, and business process outsourcing.

    Agentic Verification – More Touchless Processing Agents


    What happens if an extraction result isn’t clear enough for fully automated further processing?

    Today, this often means manual verification.

    This is exactly where Agentic Verification comes in.
    The agent reviews extraction results and helps process more transactions without manual intervention. The goal is to significantly increase the touchless rate while maintaining high processing quality.

    This creates a direct economic benefit: the more processes that can be reliably processed in the background, the lower the manual effort required.

    Agentic Verification is designed for use across industries and can be deployed in various extraction scenarios.

    The added value:
    More automated processing. Less manual verification. Greater flexibility than with traditional customization.

    From IDP to Agentic AI

    For decades, Insiders has been synonymous with intelligent document processing and the automation of document-based business processes.

    This experience forms the foundation for the next step in our development.
    After all, successful AI agents need more than just a large language model. They need reliable information, an understanding of processes, integrations with existing systems, and clear guidelines.

    That’s why we don’t view Agentic AI in isolation from existing business processes.

    We combine IDP, AI, and process knowledge to create a new generation of intelligent automation.

    How AI Agents Are Changing Document Processing

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    Higher Touchless Rate

    AI agents verify unreliable extraction results, thereby enabling more documents and processes to be processed further without manual intervention.
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    Less manual post-processing

    Where traditional IDP processes hand off to humans when uncertainties arise, agents can take over additional checks and continue the process independently.
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    Dealing with Exceptions Intelligently

    Missing information, incomplete documents, or unusual cases do not necessarily have to halt the process. Agents can assess the situation and initiate appropriate next steps.
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    Automatic Follow-ups When Information Is Missing

    If a transaction is incomplete, AI agents can identify what is missing, initiate a targeted follow-up query, and reassign the response to the correct transaction.
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    Less Rigid Customization

    Instead of mapping every variation and exception using individual rules, AI agents enable more flexible decisions based on the specific document and process context.

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    From a Document to a Complete Process

    IDP detects, classifies, and extracts. Agentic AI builds on this and enables further steps such as verifying, checking, deciding, and responding.
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    The Next Step: Automating Processes Instead of Individual AI Functions


    For us, the real change brought about by Agentic AI does not lie in yet another AI model.
    It lies in how AI functions work together.

    Classification, extraction, validation, completeness checks, communication, and other process steps can increasingly be linked to form intelligent workflows.

    Document processing becomes process automation.

    Articles on Artificial Intelligence

    Any questions?

    • An AI agent is a software system that processes information and can independently perform tasks and trigger actions within defined parameters. In a business context, AI agents can, for example, review documents, verify information, or initiate further steps in a process.
    • Generative AI creates new content, such as text or summaries, based on input. Agentic AI goes a step further: It uses AI models and other tools to pursue a defined goal and carry out multiple steps to achieve it.

    • Intelligent Document Processing focuses on understanding documents, classifying them, and extracting relevant information. Agentic AI can build on this information and take on additional tasks within a business process.

    • Yes. When used in conjunction with Intelligent Document Processing, AI agents can utilize information from documents, verify results, and trigger further process steps depending on the specific use case.

    • Of particular interest are document- and communication-intensive processes involving many recurring decisions and manual intermediate steps—for example, in purchase-to-pay, insurance, financial services, manufacturing, or business process outsourcing.