{"id":11812,"date":"2026-07-09T11:48:40","date_gmt":"2026-07-09T09:48:40","guid":{"rendered":"https:\/\/www.retarus.com\/blog\/en\/was-unternehmen-ueber-idp-wissen-sollten\/"},"modified":"2026-07-15T13:11:36","modified_gmt":"2026-07-15T11:11:36","slug":"everything-companies-need-to-know-about-idp","status":"publish","type":"post","link":"https:\/\/www.retarus.com\/blog\/en\/everything-companies-need-to-know-about-idp\/","title":{"rendered":"Everything companies need to know about IDP"},"content":{"rendered":"\n

Intelligent Document Processing (IDP) ranks among the AI use cases that rapidly deliver tangible benefits to businesses. Dan Lucarini, Lead Analyst for Doc AI and Intelligent Document Processing at Deep Analysis, joins our tech insight podcast, \u201cOkay, Got It\u201d, to discuss the technology in depth. <\/a>The discussion touches on key questions many companies are currently grappling with \u2013 including the differences between this technology and OCR, specific use cases, implementation, compliance, and ROI.<\/p>\n\n\n\n

What is IDP and how does it differ from OCR?<\/strong><\/h2>\n\n\n\n

IDP denotes a software solution capable of automatically reading, understanding, and processing documents. In contrast to typical OCR, which merely makes text from scans or image files machine-readable, IDP classifies content within its specific business context. The technology identifies document types, extracts and validates relevant information, and automatically directs it to the appropriate process. For instance, invoice numbers, amounts due or received, addresses, or order references can be captured from a document and seamlessly transferred to ERP, DMS, or workflow systems.<\/p>\n\n\n\n

Why is IDP gaining so much significance right now \u2013 and is the AI hype justified?<\/strong><\/h2>\n\n\n\n

The boom in IDP is directly linked to generative AI and large language models. Modern AI models can analyze documents with more flexibility than earlier systems and often require less training. This speeds up the processing of new document types, simplifies implementation, and increases the economic viability of projects. At the same time, it\u2019s important to bear in mind that not every process calls for AI. When it comes to IDP, however, the benefits are particularly compelling because document-related processes are generally repetitive, time-consuming, and prone to errors. Companies are best advised to start with a clearly defined use case, measure the outcomes, and then gradually scale up.<\/p>\n\n\n\n

Why are companies replacing existing solutions?<\/strong><\/h2>\n\n\n\n

Earlier systems based on IDP or OCR often demanded extensive training and needed to be modified whenever layouts changed. The new AI-based solutions promise better results and higher automation rates with less effort. As a result, many companies are not only opting to enhance their existing systems but to replace them entirely.<\/p>\n\n\n\n

What benefits does IDP offer, also in terms of compliance?<\/strong><\/h2>\n\n\n\n

IDP reduces manual data entry, speeds up document processing, and lowers error rates. The technology also boosts process quality, lightens workloads for employees, and allows for more scalable workflows. At the same time, the technology makes it easier to meet compliance requirements. IDP can review mandatory details, identify missing information, validate tax data, and support consistently uniform documentation \u2013 reducing risk and streamlining audits.<\/p>\n\n\n\n

What are the use cases?<\/strong><\/h2>\n\n\n\n

The most common use case is invoice processing. Incoming invoices can automatically be captured, verified, matched to purchase orders, and transferred downsteam to ERP systems. This especially adds significant value in accounts payable processes, because companies typically have to process large volumes of invoices and identify irregularities rapidly. IDP is also well-suited for processing orders, delivery notes, and order confirmations, in addition to dealing with contracts, HR paperwork, insurance and logistics documents, customer forms, digital mail and email classification.<\/a><\/p>\n\n\n\n

Why is invoice processing so critical?<\/strong><\/h2>\n\n\n\n

Although almost every company issues invoices, they vary greatly in layout, format, and quality. IDP is able to automatically process this wide variety of invoices, extract relevant data, and check for required details. This saves time and reduces staffing costs. It also allows invoices to be approved more quickly, enabling companies to take full advantage of early-payment discounts and improve their cash flow.<\/p>\n\n\n\n

How should companies proceed with an IDP project?<\/strong><\/h2>\n\n\n\n

The best point of departure is not the software, but the process. Companies first need to analyze where manual effort, media disruptions, or delays are occurring. Only then is it possible to determine which use case offers the greatest economic benefit and find a fitting solution.<\/p>\n\n\n\n

Which challenges and cost factors should companies bear in mind?<\/strong><\/h2>\n\n\n\n

Key challenges include change management, process analysis, data quality, and integration into existing systems. Employees crucially need to understand how their roles are changing and the benefits that automation brings. On top of licensing and implementation costs, companies also need to consider the cost of ongoing operations, customization, and potential AI usage. It\u2019s also important to take into account how peak loads, growth, or seasonal fluctuations may impact operating costs.<\/p>\n\n\n\n

How can ROI be calculated?<\/strong><\/h2>\n\n\n\n

The benefits of IDP can be measured using performance indicators such as processing time per document, degree of automation, error rate, turnaround time, human-in-the-loop interventions, and personnel costs. Processing invoices with IDP also offers potential savings through discount rates for early payment and helps prevent compliance violations. Use our convenient Business Case Calculator<\/a> to determine your company\u2019s potential savings.<\/p>\n\n\n\n

What should companies pay special attention to when selecting an IDP solution?<\/strong><\/h2>\n\n\n\n

As obvious as it may sound, companies should check thoroughly whether the solution supports the types of documents they require, and ensure it can be integrated with the company\u2019s existing ERP, DMS, and workflow systems. Beyond this, accuracy, scalability, user-friendliness, data protection, and compliance are just as critical.<\/p>\n\n\n\n

Conclusion<\/strong><\/h2>\n\n\n\n

IDP puts AI to practical use at companies. The technology helps to process documents more quickly, reduce manual work and make processes more reliable. Especially when it comes to the processing of invoices, purchase orders, delivery notes, and order confirmations, the benefits are soon clearly measurable. However, it is crucial to start with well-defined requirements and only employ IDP where automation creates real added value. For more information on how to use IDP to automate document-based processes in a data-sovereign manner leveraging cutting-edge European AI, visit our dedicated product page \u201cIntelligent Document Processing \u2013 No More Paperwork<\/a>\u201d.<\/p>\n\n\n\n

Listen to the full episode with Dan Lucarini, as well as other interesting conversations about complex cloud messaging topics, e-invoicing, industry trends, and much more, on our \u201cOkay, Got It\u201d podcast page<\/a>.<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Intelligent Document Processing (IDP) ranks among the AI use cases that rapidly deliver tangible benefits to businesses. Dan Lucarini, Lead Analyst for Doc AI and Intelligent Document Processing at Deep Analysis, joins our tech insight podcast, \u201cOkay, Got It\u201d, to discuss the technology in depth. The discussion touches on key questions many companies are currently grappling with \u2013 including the differences between this technology and OCR, specific use cases, implementation, compliance, and ROI.<\/p>\n","protected":false},"author":7,"featured_media":11562,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_s2mail":"yes","footnotes":""},"categories":[8],"tags":[3898,3815,3892],"class_list":["post-11812","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-automatisierung","tag-idp","tag-ki"],"acf":[],"yoast_head":"\nEverything companies need to know about IDP - Retarus Corporate Blog - EN<\/title>\n<meta name=\"description\" content=\"Intelligent Document Processing (IDP) ranks among the AI use cases that rapidly deliver tangible benefits to businesses. 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