13-2025 Issue ISIT 01112502 - M. Omar - JISEM

Sep 3, 2026

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.

LanguageEnglish

CategoryGeneral

FormatPDF

Pages11

Reading Time4 min

AccessFree to download

5W1H Framework

What

Why

When

Where

Who

How

AI in Finance Management

Input

Algorithm

Processing

Output

Profitability

Competition

Regulatory

AI Implementation Stages

Avoidance

Experimental

Steadiness

Expansion

Transformation

FAQs

What is the main objective of the proposed AI-based financial management system?

The main objective is to design a robust and self-sustaining financial system for power transmission organizations by leveraging AI adaptability for smooth operations.

How does the AI-based FMS support financial processes?

The AI-based FMS supports preparing budgets, improving risk management, planning taxation, and drafting legal financing documents, driven by maintenance plans and financial circumstances.

What are the typical stages of AI for FMS implementation?

The implementation generally follows stages from avoidance to experimental, then steadiness, expansion, and finally transformation.

Sep 3, 2026

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