{"id":908,"date":"2026-10-21T13:04:51","date_gmt":"2026-10-21T13:04:51","guid":{"rendered":"https:\/\/dfexa.com.br\/en\/?p=908"},"modified":"2026-10-21T13:06:34","modified_gmt":"2026-10-21T13:06:34","slug":"artificial-intelligence-and-financial-evidence-how-to-identify-manipulation-and-preserve-evidence-in-corporate-disputes","status":"publish","type":"post","link":"https:\/\/dfexa.com.br\/en\/artificial-intelligence-and-financial-evidence-how-to-identify-manipulation-and-preserve-evidence-in-corporate-disputes\/","title":{"rendered":"Artificial Intelligence and Financial Evidence: How to Identify Manipulation and Preserve Evidence in Corporate Disputes"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Artificial Intelligence and Financial Evidence: How to Identify Manipulation and Preserve Evidence in Corporate Disputes<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence is transforming the way companies produce, process, and analyze information. Tools capable of interpreting documents, identifying patterns in large datasets, and automating financial tasks are already part of the daily operations of many organizations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At the same time, these technologies introduce new challenges to the reliability of information used in investigations, arbitrations, and business disputes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Documents can be modified using increasingly sophisticated tools. Reports can be generated automatically from incomplete datasets. Digital communications can be simulated, while financial analyses produced by artificial intelligence may present seemingly consistent results even when their underlying assumptions or sources are incorrect.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This environment requires particular attention to data integrity and provenance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In a corporate dispute, it is not enough for a document to contain plausible information or for a spreadsheet to present mathematically correct calculations. It is necessary to understand how these materials were produced, which records support them, and whether sufficient evidence exists to establish their authenticity and reliability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The use of <strong>artificial intelligence in forensic accounting<\/strong> expands the possibilities for investigation and analysis, but it also reinforces the importance of professional judgment, independent validation, and proper evidence preservation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For companies, legal departments, and professionals involved in dispute resolution, understanding this transformation has become essential to producing technically defensible financial analyses.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">How Is Artificial Intelligence Transforming the Production and Analysis of Financial Information?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The application of artificial intelligence in accounting and financial activities goes beyond automating repetitive tasks.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Intelligent systems can assist with transaction classification, record reconciliation, inconsistency detection, document processing, and the analysis of large volumes of information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Machine learning tools can also recognize statistical patterns that would be difficult to identify through exclusively manual reviews.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In organizations handling thousands or millions of transactions, these capabilities offer significant opportunities to improve the efficiency of control and analysis processes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, adopting these technologies changes how certain information is generated and interpreted.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A financial report may combine data from different systems, processed by algorithms and presented through an interface that does not clearly disclose every stage of the calculation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Similarly, generative artificial intelligence tools can produce explanatory texts, document summaries, and financial interpretations that require validation before being used in corporate decision-making.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This means that the reliability of the results depends not only on the tool being used, but also on data quality, the methodology applied, and the existence of review mechanisms.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In litigation, these conditions become even more important.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">Why Does Artificial Intelligence Create New Challenges for Financial Evidence?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Financial evidence is built from information that must be examined, connected, and interpreted consistently.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Commonly used materials include financial statements, accounting records, contracts, bank statements and payment records, corporate communications, spreadsheets, and documents extracted from business systems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Historically, analyzing these materials has already required procedures to identify inconsistencies, alterations, and discrepancies between different sources.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With advances in artificial intelligence, new possibilities have emerged for creating and modifying digital content.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An image of a document can be altered without showing obvious visual signs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An electronic communication can be simulated.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A report may contain nonexistent references or incorrectly attribute information to legitimate documents.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A spreadsheet may present results based on unverified assumptions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These situations do not mean that digital documents or AI-generated content are necessarily invalid. The problem arises when sufficient procedures are not in place to verify their origin, integrity, and correspondence with the facts.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For this reason, technical analysis must consider both the content presented and the process through which it was produced.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">What Types of Manipulation Can Compromise Financial Evidence?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The improper use of digital tools can compromise different categories of information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Risks that deserve particular attention include:<\/p>\n\n\n\n<br>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Document alteration:<\/strong> modifying amounts, dates, names, or contractual terms in digital files;<\/li>\n\n\n\n<li><strong>Simulated communications:<\/strong> creating messages, emails, or conversation records that appear to have been produced by real individuals;<\/li>\n\n\n\n<li><strong>Accounting data manipulation:<\/strong> altering journal entries, classifications, or datasets used to prepare reports;<\/li>\n\n\n\n<li><strong>Synthetic document creation:<\/strong> generating files that imitate financial, commercial, or administrative documents;<\/li>\n\n\n\n<li><strong>Selective omission of information:<\/strong> presenting analyses that exclude relevant transactions or periods;<\/li>\n\n\n\n<li><strong>Incorrect automated results:<\/strong> relying on AI-generated conclusions without validating their sources and assumptions.<\/li>\n<\/ul>\n\n\n\n<br>\n\n\n\n<p class=\"wp-block-paragraph\">It is important to emphasize that identifying an anomaly does not, by itself, demonstrate deliberate manipulation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Inconsistencies may also result from operational errors, system integration failures, file conversion problems, or improper use of tools.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The role of forensic analysis is to investigate these possibilities and seek evidence that helps distinguish legitimate errors from potential irregularities.<\/p>\n\n\n\n<br>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"900\" height=\"600\" src=\"https:\/\/dfexa.com.br\/en\/wp-content\/uploads\/2026\/10\/Inteligencia-artificial-e-prova-financeira_01.png\" alt=\"\" class=\"wp-image-910\" srcset=\"https:\/\/dfexa.com.br\/en\/wp-content\/uploads\/2026\/10\/Inteligencia-artificial-e-prova-financeira_01.png 900w, https:\/\/dfexa.com.br\/en\/wp-content\/uploads\/2026\/10\/Inteligencia-artificial-e-prova-financeira_01-300x200.png 300w, https:\/\/dfexa.com.br\/en\/wp-content\/uploads\/2026\/10\/Inteligencia-artificial-e-prova-financeira_01-768x512.png 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/figure>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">How Can Potentially Manipulated Financial Documents Be Identified?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Identifying possible document alterations requires an approach that combines content analysis, source verification, and comparison with independent records.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An individual document may appear authentic while containing information that conflicts with other available evidence.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Consider a contractual dispute in which one party submits a digital invoice to demonstrate a particular payment.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The analysis should not be limited to the appearance of the file.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It may be possible to verify whether the transaction is recorded in the accounting system, whether it corresponds to bank statements, whether the document was issued by the stated supplier, and whether the amounts are consistent with commercial records.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Technical information about the file, such as metadata, available versions, and storage history, may also be examined when accessible and relevant.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">None of these procedures should be interpreted in isolation as definitive proof of authenticity or forgery.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Metadata can be modified, legitimate documents may be converted between formats, and certain systems do not preserve a complete history of changes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For this reason, reliability is generally strengthened when different sources of evidence converge.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">What Is Digital Evidence and Why Is Its Integrity Essential?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Digital evidence consists of information stored, transmitted, or processed electronically that may contribute to establishing particular facts.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the corporate environment, it may include accounting files, system logs, electronic messages, digital documents, transaction histories, and databases.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The integrity of this information is essential because undocumented alterations may compromise the ability to reconstruct events.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In a financial investigation, for example, it may be necessary to determine when a particular transaction was recorded, who was authorized to execute it, and whether subsequent modifications occurred.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If the original data is replaced or altered without proper controls, the analysis may lose important information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Proper preservation seeks to ensure that the materials used can be identified, examined, and traced back to their sources.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This does not mean that every file must remain technically unchanged throughout the investigation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Working copies may be organized, converted, and analyzed, provided that the procedures are documented and their relationship to the original records can be demonstrated.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">Digital Chain of Custody: How Can the Reliability of Evidence Be Preserved?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The chain of custody consists of procedures used to document the identification, collection, transfer, storage, access, and handling of evidence.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the digital context, its purpose is to make it possible to understand the path taken by information from its acquisition to its use in technical analysis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Depending on the nature of the material and the procedure, preservation measures may include:<\/p>\n\n\n\n<br>\n\n\n\n<ul class=\"wp-block-list\">\n<li>identifying the original source;<\/li>\n\n\n\n<li>recording the date and conditions of acquisition;<\/li>\n\n\n\n<li>documenting the individuals responsible for collection;<\/li>\n\n\n\n<li>creating controlled copies;<\/li>\n\n\n\n<li>using integrity verification mechanisms, such as cryptographic hash functions;<\/li>\n\n\n\n<li>controlling access to files;<\/li>\n\n\n\n<li>documenting analytical procedures;<\/li>\n\n\n\n<li>preserving relevant versions.<\/li>\n<\/ul>\n\n\n\n<br>\n\n\n\n<p class=\"wp-block-paragraph\">These measures help reduce uncertainty about possible alterations during an investigation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, it is important to understand the limitations of each mechanism.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A hash, for example, can demonstrate that a particular file remains identical to the version used as a reference. It does not, by itself, prove that the content was truthful when the file was created.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Similarly, a documented chain of custody strengthens traceability but does not replace a critical assessment of the authenticity, relevance, and reliability of the information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Producing expert evidence requires considering all these aspects together.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">How Does Forensic Accounting Use Artificial Intelligence to Analyze Large Volumes of Data?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Forensic accounting examines accounting and financial information to understand events, reconstruct transactions, identify inconsistencies, and produce technically substantiated conclusions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In complex investigations, the volume of data can present a significant challenge.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An organization may have millions of records distributed across financial systems, procurement platforms, payment controls, and operational databases.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Data analytics tools, including artificial intelligence models, can help identify unusual patterns and prioritize records that warrant further investigation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Potential applications include identifying duplicate payments, transactions that deviate from historical patterns, unusual relationships between suppliers and employees, and atypical changes in financial records.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Document classification and information extraction tools may also be used to organize contracts, invoices, and other files.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, these tools must be used with caution.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An algorithm may identify a statistically unusual transaction even when no irregularity exists.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Conversely, fraudulent transactions may share characteristics with legitimate transactions and remain undetected by certain models.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence should therefore be understood as a tool that supports investigations, rather than a substitute for professional assessment.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">What Do Studies Published in 2026 Reveal About Artificial Intelligence Risks in Investigations?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Technological developments have been accompanied by significant changes in how organizations and fraudsters use digital tools.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The <strong><a href=\"https:\/\/www.acfe.com\/\" data-type=\"link\" data-id=\"https:\/\/www.acfe.com\/\">2026 Anti-Fraud Technology Benchmarking Report<\/a><\/strong>, developed by the Association of Certified Fraud Examiners (ACFE) in partnership with SAS, analyzed responses from 713 anti-fraud professionals across different regions of the world.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The survey found that 25% of the organizations represented were already using artificial intelligence or machine learning in data analytics initiatives, compared with 18% in the 2024 study.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At the same time, only 7% of respondents considered their organizations to be more than moderately prepared to detect or prevent AI-driven fraud.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These findings demonstrate that incorporating these technologies into corporate processes does not eliminate the need for controls and investigative procedures.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">On the contrary, the ability to generate documents, simulate identities, and automate interactions increases the importance of independent verification.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The report also indicates that document fraud involving generative artificial intelligence and social engineering techniques using deepfakes are among the methods that surveyed professionals expect to increase in the coming years.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For forensic accounting, this environment reinforces the need to combine advanced analytical tools with traditional procedures for document verification, financial tracing, and critical evaluation of evidence.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">What Are the Limitations of Artificial Intelligence in Producing Expert Evidence?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Despite its ability to process large volumes of information, artificial intelligence has limitations that must be considered in investigations and corporate disputes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Generative models may produce incorrect answers, omit relevant information, or present interpretations that do not correspond to the documents used as references.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It may also be difficult to fully understand how certain models reached a particular result.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In its <em>Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile<\/em>, the National Institute of Standards and Technology (NIST) emphasizes the importance of mechanisms for tracing the origin and history of digital content, as well as assessing risks associated with the production of synthetic information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In practice, this means that the use of AI in technical work must be accompanied by controls proportionate to the significance of the conclusions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If a tool identifies a potential inconsistency among thousands of accounting entries, the expert must verify the records supporting that alert.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If a system produces a document summary, relevant statements must be checked against the original files.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If a model assists in preparing calculations, its formulas, assumptions, and results must be examined.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Technology can improve efficiency, but it does not automatically confer credibility or evidentiary value on the information produced.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">How Can a Financial Inconsistency Be Distinguished from Potential Manipulation?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">One of the central responsibilities of forensic accounting is to avoid premature conclusions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Not every accounting discrepancy represents fraud. Similarly, the existence of apparently consistent records does not rule out potential irregularities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Consider a company that presents a series of accounting entries recorded close to the end of a reporting period.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These entries may result from legitimate closing adjustments.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, they may also warrant investigation when they involve unusual amounts, lack supporting documentation, or have significant effects on financial indicators used in a negotiation or dispute.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The analysis must consider the context.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This involves understanding the economic nature of the transactions, reviewing supporting documents, identifying responsible individuals, examining accounting policies, and comparing records with prior periods.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence tools may help select transactions that deserve attention, but the conclusion depends on evaluating the available evidence as a whole.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This distinction is essential to avoid both overlooking relevant irregularities and making allegations without sufficient technical support.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">The Importance of Data Traceability in Financial Reports<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In business disputes, financial reports frequently present consolidated results drawn from multiple sources.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A damages calculation, for example, may use accounting data, commercial information, financial projections, and operational records.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When artificial intelligence tools are involved in this process, it becomes important to document which information was used and which transformations were performed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Traceability makes it possible to understand the path from the original record to the conclusion presented.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This process may involve identifying the datasets, recording the versions used, documenting data processing criteria, and preserving supporting calculations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When relevant, it may also be necessary to record the models and configurations employed, the instructions provided to the tools, and the human interventions performed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These measures are particularly important when the results will be used in arbitration or judicial proceedings.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A financial conclusion may appear coherent, but its credibility depends on the ability to verify the elements supporting it.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">How Can Artificial Intelligence Affect Arbitration and Business Disputes?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Corporate disputes frequently involve substantial volumes of documents and financial information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In arbitrations involving contracts, corporate transactions, investments, or allegations of irregularities, experts may need to examine extensive transaction histories and reconstruct events spanning several years.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence can assist in organizing these materials, identifying relevant documents, and comparing different sets of information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, its use also raises questions about methodological transparency.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If a technical conclusion depends on automated classification, it is important to understand which criteria were applied and whether the results were adequately validated.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If certain documents were summarized by a generative system, the expert must verify that essential information was preserved.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Confidentiality risks must also be considered, particularly when the materials contain strategic data, personal information, or documents protected by contractual obligations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The use of external tools must comply with the security, confidentiality, and governance requirements applicable to the case.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In dispute resolution proceedings, technological efficiency must not compromise the integrity of evidence.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">The Role of Corporate Governance in the Use of Artificial Intelligence<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Managing risks associated with artificial intelligence should not begin only when an investigation arises.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Companies using these tools in financial, accounting, or administrative processes need to establish clear criteria for their adoption.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This includes defining which activities may be automated, which information may be processed, and which results require human review.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It is also important to establish responsibilities for tool usage and procedures for preserving relevant records.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An organization that uses artificial intelligence to prepare financial reports, for example, should be able to demonstrate which data was considered and which checks were performed before the document was approved.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Similarly, processes involving payments, financial approvals, and changes to registration information must maintain controls capable of reducing the risks of forgery and identity misuse.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Governance helps organizations incorporate the benefits of technology without eliminating essential oversight mechanisms.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">How Can a Company Prepare for an Investigation Involving Digital Evidence?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Preparing for a potential investigation depends on measures adopted before a dispute arises.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Relevant precautions include organizing financial records, establishing document retention policies, controlling system access, and maintaining change histories where technically available.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It is also important for teams to understand how to preserve information when they identify a potentially irregular situation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Deleting files, replacing original documents, or making undocumented changes may make it more difficult to reconstruct events.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When an investigation begins, the scope of preservation should reflect the nature of the information involved and the specific risks of the case.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The <strong>ABNT NBR ISO\/IEC 27037:2013<\/strong> standard, in force in Brazil, provides guidelines for the identification, collection, acquisition, and preservation of digital evidence that may have evidentiary value.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These procedures are relevant to preserving the integrity of the materials, but a financial investigation also requires an understanding of the economic substance of the transactions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For this reason, complex situations may require coordinated efforts among forensic accounting, technology, information security, and legal professionals.<\/p>\n\n\n\n<br>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img decoding=\"async\" width=\"900\" height=\"600\" src=\"https:\/\/dfexa.com.br\/en\/wp-content\/uploads\/2026\/10\/Inteligencia-artificial-e-prova-financeira_02.png\" alt=\"\" class=\"wp-image-911\" srcset=\"https:\/\/dfexa.com.br\/en\/wp-content\/uploads\/2026\/10\/Inteligencia-artificial-e-prova-financeira_02.png 900w, https:\/\/dfexa.com.br\/en\/wp-content\/uploads\/2026\/10\/Inteligencia-artificial-e-prova-financeira_02-300x200.png 300w, https:\/\/dfexa.com.br\/en\/wp-content\/uploads\/2026\/10\/Inteligencia-artificial-e-prova-financeira_02-768x512.png 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/figure>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">Why Does Professional Judgment Remain Essential?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence can accelerate analyses and identify relationships that would be difficult to detect manually.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, an investigation involves more than identifying patterns.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It requires developing hypotheses, evaluating alternative explanations, understanding the economic context, and determining which conclusions are actually supported by the evidence.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A system may indicate that a particular supplier received payments inconsistent with its historical activity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The expert must investigate whether there was a contractual change, a legitimate expansion of operations, a registration error, or a potential irregularity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Similarly, a model may identify differences between financial statements, but it is the professional&#8217;s responsibility to assess whether those discrepancies result from justified accounting changes or improper procedures.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The value of technical analysis lies in the ability to transform data into substantiated conclusions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This requires independence, methodological transparency, and a willingness to acknowledge limitations when the available information does not support a definitive answer.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence expands the resources available to specialists, but it does not replace these responsibilities.<\/p>\n\n\n\n<br>\n\n\n\n<h2 class=\"wp-block-heading\">How Does DFEXA Support the Analysis of Financial Evidence in Corporate Disputes?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The growing use of artificial intelligence makes the ability to critically examine financial information, reconstruct transactions, and produce technically substantiated conclusions even more important.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In business disputes, the reliability of evidence depends on understanding not only the results presented, but also the origin of the data, the criteria applied, and the consistency of the records supporting each conclusion.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><a href=\"https:\/\/dfexa.com.br\/en\/\" data-type=\"link\" data-id=\"https:\/\/dfexa.com.br\/en\/\">DFEXA<\/a><\/strong> supports companies, law firms, and other parties involved in complex matters requiring specialized knowledge in forensic accounting, accounting expert analysis, financial investigations, and the preparation of expert evidence.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Through the analysis of accounting records, financial documents, and databases, DFEXA assists in identifying inconsistencies, reconstructing transactions, evaluating information, and preparing technical analyses that may support investigations and dispute resolution proceedings.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When questions arise regarding the integrity or reliability of digital information, the work may involve assessing available records, comparing independent sources, and identifying matters that require additional examination.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In situations requiring specialized digital forensics expertise, financial analysis may be coordinated with specialized technical procedures, taking into account the particular circumstances of each investigation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Beyond the use of advanced tools, the objective is to ensure that the results presented are understandable, verifiable, and supported by a consistent methodology.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence will continue to transform the production and analysis of corporate information. However, as technological complexity increases, preserving traceability, independence, and the quality of evidence becomes even more important.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If your company or law firm is involved in a dispute requiring independent analysis of financial information, identification of inconsistencies, or preparation of expert evidence, <strong><a href=\"https:\/\/api.whatsapp.com\/send?phone=5511989807376\">contact DFEXA<\/a><\/strong> to learn more about our forensic accounting, accounting expert services, and technical support for business disputes.<\/p>\n\n\n\n<br>\n\n\n\n<p class=\"wp-block-paragraph\">Read Also<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/dfexa.com.br\/en\/post-ma-disputes-how-purchase-price-adjustments-earn-outs-and-representations-and-warranties-can-turn-an-acquisition-into-arbitration\/\">Post-M&amp;A Disputes: How Purchase Price Adjustments, Earn-Outs, and Representations and Warranties Can Turn an Acquisition into Arbitration<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/dfexa.com.br\/en\/occupational-fraud-and-red-flags-how-forensic-accounting-helps-identify-irregularities-before-losses-escalate\/\">Occupational Fraud and Red Flags: How Forensic Accounting Helps Identify Irregularities Before Losses Escalate<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Understand how artificial intelligence affects financial evidence and how forensic accounting helps identify manipulation and preserve evidence.<\/p>\n","protected":false},"author":2,"featured_media":909,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_joinchat":[],"footnotes":""},"categories":[9],"tags":[84,86,58,38,69,75,18,83,85,87,24],"class_list":["post-908","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-novidades","tag-accounting-expert-evidence","tag-artificial-intelligence","tag-business-arbitration","tag-corporate-fraud","tag-corporate-governance","tag-data-analytics","tag-dfexa","tag-digital-evidence","tag-financial-evidence","tag-financial-investigations","tag-forensic-accounting"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Artificial Intelligence and Financial Evidence: How to Identify Manipulation and Preserve Evidence in Corporate Disputes - DFEXA<\/title>\n<meta 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