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  Published Paper Details:

  Paper Title

AI-Enabled Applications in SAP FICO for Enhanced Reporting

  Authors

  DIGNESH KUMAR KHATRI,  AKSHUN CHHAPOLA,  SHALU JAIN

  Keywords

AI, SAP FICO, financial reporting, machine learning, automation, compliance, customization, real-time analytics, transparency, auditability

  Abstract


The use of Artificial Intelligence (AI) inside enterprise resource planning (ERP) systems, namely in SAP Financial Accounting and Controlling (FICO), is significantly transforming the whole financial reporting domain. The use of AI-enabled apps presents a paradigm shift in the management of financial data, as it optimizes the precision, efficiency, and analytical capacities of reporting procedures. This study examines the integration and consequences of artificial intelligence (AI) technologies into the SAP FICO system, with a specific emphasis on their role in augmenting financial reporting capabilities. SAP FICO, an integral component of SAP's Enterprise Resource Planning (ERP) package, has historically been tasked with overseeing financial management functions such as general ledger accounting, accounts receivable/payable, and asset accounting. Nevertheless, the typical reporting systems used in SAP FICO sometimes need significant manual labor and are susceptible to human fallibility. In order to overcome these constraints, artificial intelligence (AI) effectively automates repetitive processes, including data extraction, purification, and validation. This automation process serves to reduce mistakes and allocate resources towards more valuable endeavors. One of the primary benefits of AI in SAP FICO is its ability to process vast amounts of financial data in real time, enabling more accurate and timely reports. AI-driven analytics tools can analyze complex datasets, identify patterns, and generate insights that are beyond human capability. This results in more informed decision-making and improved financial planning and forecasting. For example, AI algorithms can predict cash flow trends, optimize working capital management, and assess financial risks with greater precision. Furthermore, AI enhances the customization of financial reports. Traditional SAP FICO reports are often standardized, limiting their usefulness in addressing specific business needs. AI-enabled applications allow for the generation of highly tailored reports that reflect the unique requirements of different stakeholders. This level of customization is achieved through machine learning models that learn from historical data and user preferences, ensuring that reports are both relevant and actionable. Another significant advantage of AI in SAP FICO is the improvement in compliance and regulatory reporting. Financial regulations are becoming increasingly complex, and non-compliance can result in severe penalties. AI applications can automatically monitor compliance with various regulations, flagging potential issues before they escalate. By continuously scanning for regulatory changes and adjusting reporting processes accordingly, AI helps organizations stay compliant and reduce the risk of financial penalties. Moreover, AI contributes to enhanced transparency and auditability in financial reporting. Traditional reporting methods often involve multiple layers of manual processing, which can obscure the audit trail. In contrast, AI systems maintain detailed logs of all transactions and processes, providing a clear and traceable audit trail. This transparency not only facilitates easier audits but also builds trust among stakeholders by ensuring that financial reports are accurate and reliable. To summarize, the incorporation of artificial intelligence into SAP FICO is a big step forward in the field of financial reporting. Application software that is integrated with artificial intelligence has the potential to revolutionize the way in which businesses handle their financial data by automating regular activities, enabling flexibility, assuring compliance, and improving transparency. With the further development of artificial intelligence, it is anticipated that its function inside SAP FICO will increase, bringing with it even more advantages for improved financial reporting and decision-making.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT21A6126

  Paper ID - 268051

  Page Number(s) - k378-k393

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  DIGNESH KUMAR KHATRI,  AKSHUN CHHAPOLA,  SHALU JAIN,   "AI-Enabled Applications in SAP FICO for Enhanced Reporting", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.k378-k393, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT21A6126.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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