To equip finance professionals with the knowledge and tools to implement AI-powered solutions for financial reporting automation, data-driven insights, and strategic cost optimization across business units.
AI-Driven Financial Reporting and Cost Optimization
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Kuala Lumpur
10 August 2025
14 August 2025
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Details
This course explores how artificial intelligence (AI), machine learning, and automation tools can be applied to transform financial reporting processes and drive cost efficiency. Participants will gain hands-on knowledge of AI applications in data collection, report generation, variance analysis, and cost control strategies. The course bridges the gap between financial expertise and digital transformation, with a focus on achieving greater accuracy, agility, and efficiency in financial operations.
Target Group
Target Group:
Senior accountants and financial controllers
FP&A and cost analysts
Finance managers and CFO office staff
Internal auditors and compliance officers
Professionals involved in digital finance transformation
Goals
Understand the role of AI in modern financial reporting.
Automate data gathering, consolidation, and reporting workflows.
Improve accuracy and timeliness of financial reports using AI tools.
Identify inefficiencies and cost drivers through AI-based analytics.
Apply AI models for budgeting, forecasting, and cost allocation.
Support strategic decision-making with predictive and prescriptive insights.
Target Competencies
Target Competencies:
AI literacy and tool adoption in finance
Financial reporting automation and dashboarding
AI-driven forecasting and cost control
Data analysis for decision-making
Digital change management in financial operations
Outlines
Introduction to AI in Finance and Reporting
What is AI and how it applies to finance
Use cases: automation, analytics, fraud detection
Differences between AI, RPA, and business intelligence
Benefits and risks of adopting AI in financial reporting
Overview of AI-powered finance platforms and tools
Automating Financial Reporting Processes
AI for data extraction, classification, and validation
Automating consolidation from ERP and legacy systems
Real-time financial dashboards and dynamic reporting
Natural Language Generation (NLG) for narrative reports
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