What question did this study set out to answer?

The aim is to create and validate a framework for implementing AI-driven automation to reduce operational costs in finance.

AI-Driven Automation in Enterprise Finance: A Framework for Reducing Operational Costs

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This research develops a framework to enhance operational efficiency in finance, suggesting practical guidance for enterprises.

The aim is to create and validate a framework for implementing AI-driven automation to reduce operational costs in finance.
Mixed-method approach including systematic literature review and qualitative expert interviews.
Involvement of finance professionals, AI specialists, and organizational strategists for comprehensive insight.
Focus on technological integration, change management, ethical governance, and performance metrics.
The framework reveals user adoption and legacy systems as major factors influencing cost reduction.
It identifies ethical considerations as pivotal in the implementation of AI-driven solutions.
Empirical validation confirms the framework's practicality and adaptability for enterprises.

Paras Pandey (2025) studied this question.

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