[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-191446-105":3,"detail-sidebar-cat-1-en-105":80,"doc-detail-191446-en":126},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":73,"head_meta":75,"extra_data":77,"updated_unix":79},105,"en","13-2025-issue-isit-01112502-m-omar-jisem","13-2025 Issue ISIT 01112502 - M. Omar - JISEM","","This paper proposes a framework for designing a robust and self-sustaining financial management system (FMS) for power transmission organizations by leveraging AI adaptability. The AI-based FMS is designed using the 5W1H framework to support budgeting, risk management, taxation planning, and legal financing document drafting, all driven by maintenance plans, development portfolios, and financial circumstances. AI enhances automation, accuracy, and efficiency, leading to faster decision-making through readily available reports and recommendations. However, AI implementation in FMS faces challenges related to data availability, IT infrastructure, and dedicated resources. The implementation process is divided into stages: avoidance, experimental, steadiness, expansion, and transformation. The methodology involves data gathering, machine learning, parameter definition, and the creation of financial analysis and forecasting models. Successful execution can transform it into an indispensable decision-making tool for the organization.",{"@graph":14,"@context":72},[15,34,55],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/template/","Template",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/template/general/","General",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/template/13-2025-issue-isit-01112502-m-omar-jisem/191446/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/13-2025-issue-isit-01112502-m-omar-jisem/191446.png","ImageObject",442,249,{"name":42,"@type":43},"Stanford","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-09-27","2026-09-03",true,{"@type":52,"interactionType":53,"userInteractionCount":30},"InteractionCounter",{"@type":54},"ViewAction",{"@type":56,"mainEntity":57},"FAQPage",[58,64,68],{"name":59,"@type":60,"acceptedAnswer":61},"What is the main objective of the proposed AI-based financial management system?","Question",{"text":62,"@type":63},"The main objective is to design a robust and self-sustaining financial system for power transmission organizations by leveraging AI adaptability for smooth operations.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"How does the AI-based FMS support financial processes?",{"text":67,"@type":63},"The AI-based FMS supports preparing budgets, improving risk management, planning taxation, and drafting legal financing documents, driven by maintenance plans and financial circumstances.",{"name":69,"@type":60,"acceptedAnswer":70},"What are the typical stages of AI for FMS implementation?",{"text":71,"@type":63},"The implementation generally follows stages from avoidance to experimental, then steadiness, expansion, and finally transformation.","https://schema.org",{"og:url":32,"og:type":74,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":76,"canonical":32},"index,follow",{"doc_id":78,"site_id":7},191446,1790162654,{"code":4,"msg":81,"data":82},"success",[83,88,93,98,103,108,113,118,123],{"id":84,"doc_module":22,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},11,"Presentations",90,"presentations",{"id":89,"doc_module":22,"doc_module_name":25,"category_name":90,"show_sort_weight":91,"slug":92},12,"Resumes",80,"resumes",{"id":94,"doc_module":22,"doc_module_name":25,"category_name":95,"show_sort_weight":96,"slug":97},14,"Invoices",70,"invoices",{"id":99,"doc_module":22,"doc_module_name":25,"category_name":100,"show_sort_weight":101,"slug":102},15,"Posters",60,"posters",{"id":104,"doc_module":22,"doc_module_name":25,"category_name":105,"show_sort_weight":106,"slug":107},16,"Social Media",50,"social-media",{"id":109,"doc_module":22,"doc_module_name":25,"category_name":110,"show_sort_weight":111,"slug":112},17,"Forms",40,"forms",{"id":114,"doc_module":22,"doc_module_name":25,"category_name":115,"show_sort_weight":116,"slug":117},18,"Letters",30,"letters",{"id":119,"doc_module":22,"doc_module_name":25,"category_name":120,"show_sort_weight":121,"slug":122},21,"Paper Templates",5,"papers-templates",{"id":124,"doc_module":22,"doc_module_name":25,"category_name":29,"show_sort_weight":4,"slug":125},158,"general-158",{"code":4,"msg":81,"data":127},{"doc_id":78,"user_id":128,"nickname":42,"user_avatar":129,"doc_module":22,"category_id":124,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":30,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":84,"language":135,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":12,"update_tm":139,"read_time":33},2336477552062,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","| ARTICLE INFO | ABSTRACT |\n| --- | --- |\n| Received: 05 Dec 2024\u003Cbr>Revised: 28 Jan 2025\u003Cbr>Accepted: 09 Feb 2025 | By leveraging AI adaptability for financial management in the power transmission organization a robust and self-sustaining financial system can be designed while having smooth operations. The paper has been designed using the 5W1H framework. The AI-based FMS supports preparing budgets, improving risk management, planning taxation, and drafting the legal financing documents that are driven by the maintenance plan, development portfolio and financial circumstances. Apart from the work support, AI is benefiting from automation despite the fact maintains accuracy and efficiency. The decision-making becomes speedy since we can have readily available reports and recommendations on few clicks away. However, the implementation of AI for FMS will also pose some challenges, which mainly indicate the data availability, IT infrastructure and dedicated financial and human resources. AI for FMS implementation generally falls within the purview of the finance department and is jointly carried out with the IT department. The application has been divided into different stages, starting from the avoidance to experimental reached to transformation by flowing through steadiness and expansion, respectively. So, this whole process covers the 5Ws, whereas, the 1H answers the question of how this path can be followed. Thus, need to develop the methodology for data gathering, machine learning, defining parameters and creating financial analysis and forecasting models. The successful execution can make it an indispensable decision-making tool for the organization.\u003Cbr>Keywords: Artificial Intelligence, Finance, Optimization, Planning, Forecasting, 5W1H Framework |","cbCaieBBC3g2ERbw","https://ap.wps.com/l/cbCaieBBC3g2ERbw","pdf",431439,"English","# 5W1H Framework\n## What\n## Why\n## When\n## Where\n## Who\n## How\n# AI in Finance Management\n## Input\n## Algorithm\n## Processing\n## Output\n### Profitability\n### Competition\n### Regulatory\n# AI Implementation Stages\n## Avoidance\n## Experimental\n## Steadiness\n## Expansion\n## Transformation","[{\"question\":\"What is the main objective of the proposed AI-based financial management system?\",\"answer\":\"The main objective is to design a robust and self-sustaining financial system for power transmission organizations by leveraging AI adaptability for smooth operations.\"},{\"question\":\"How does the AI-based FMS support financial processes?\",\"answer\":\"The AI-based FMS supports preparing budgets, improving risk management, planning taxation, and drafting legal financing documents, driven by maintenance plans and financial circumstances.\"},{\"question\":\"What are the typical stages of AI for FMS implementation?\",\"answer\":\"The implementation generally follows stages from avoidance to experimental, then steadiness, expansion, and finally transformation.\"}]","13-2025 Issue ISIT 01112502 - M. Omar - JISEM | PDF",1788408643]