Intelligent Business Document Processing Using AI- and NLP-Based Techniques: A Systematic Literature Review

Intelligent Business Document Processing Using AI- and NLP-Based Techniques: A Systematic Literature Review | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Systematic Review Intelligent Business Document Processing Using AI- and NLP-Based Techniques: A Systematic Literature Review Naif Alotaibi, Morteza Saberi, Madhushi Bandara, Thantrira Porntaveetus This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8197499/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This literature review examines the emerging integration of artificial intelligence (AI) and natural language processing (NLP) in intelligent business document processing. The primary objective of this study is to identify intelligent platforms capable of tracking changes in external policies that may affect corporate operations and automatically communicating these updates to help organisations adapt. The review systematically analyses 46 scholarly articles published between 2014 and 2025 that discuss the application of AI and NLP in business document monitoring, retrieved from the Scopus database. It encompasses various AI and NLP techniques employed for semantic search, question answering, summarisation, text data integration and matching, event extraction, and business process management. Natural language processing (NLP) Business document processing (BDP) Artificial intelligence (AI) Systematic literature review (SLR) Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8197499","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Systematic Review","associatedPublications":[],"authors":[{"id":580986485,"identity":"5616d34d-c550-43e1-989b-cba4a01301b5","order_by":0,"name":"Naif Alotaibi","email":"data:image/png;base64,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","orcid":"","institution":"University of Technology Sydney","correspondingAuthor":true,"prefix":"","firstName":"Naif","middleName":"","lastName":"Alotaibi","suffix":""},{"id":580986486,"identity":"07945130-4879-4d33-908d-c80e5f433b9c","order_by":1,"name":"Morteza Saberi","email":"","orcid":"","institution":"University of Technology Sydney","correspondingAuthor":false,"prefix":"","firstName":"Morteza","middleName":"","lastName":"Saberi","suffix":""},{"id":580986487,"identity":"5e396d91-2504-496e-be41-c76f671d0733","order_by":2,"name":"Madhushi Bandara","email":"","orcid":"","institution":"University of Technology Sydney","correspondingAuthor":false,"prefix":"","firstName":"Madhushi","middleName":"","lastName":"Bandara","suffix":""},{"id":580986488,"identity":"bf4fc7b2-f604-467e-8962-5acd9ab19b5d","order_by":3,"name":"Thantrira Porntaveetus","email":"","orcid":"","institution":"Chulalongkorn University","correspondingAuthor":false,"prefix":"","firstName":"Thantrira","middleName":"","lastName":"Porntaveetus","suffix":""}],"badges":[],"createdAt":"2025-11-25 00:53:12","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-8197499/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8197499/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":103902726,"identity":"ea13d1e6-1a04-411f-882c-48999dd3709b","added_by":"auto","created_at":"2026-03-04 10:13:38","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":590685,"visible":true,"origin":"","legend":"","description":"","filename":"ArticleTitle.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8197499/v1_covered_68a12e13-a7ee-471d-a590-f1698fef99be.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Intelligent Business Document Processing Using AI- and NLP-Based Techniques: A Systematic Literature Review","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Natural language processing (NLP), Business document processing (BDP), Artificial intelligence (AI), Systematic literature review (SLR)","lastPublishedDoi":"10.21203/rs.3.rs-8197499/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8197499/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This literature review examines the emerging integration of artificial intelligence (AI) and natural language processing (NLP) in intelligent business document processing. 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