A Strategic Framework of Artificial Intelligence in Integrated Decision Making: A Systematic Review

There is no doubt that making sound decisions is a challenging skill to acquire. A look at how leaders and organisations can acknowledge the uncertainties and roadblocks of attempting to launch successful initiatives. Taking any decision is a reasonable response to being confronted with intriguing situations, and organisations are traditionally expected to make reasonable judgements to confirm the efficacy of their management practices, particularly to accommodate key stakeholders and integrate workers' decisions at all levels of management into the aggregate organization-wide decision to realise the organization's mission and objectives. However, extenuating circumstances recurrently preclude prompt, accurate, and incisive decision-making, leaving organisations floundering in the business wilderness. In this paper, we propose a strategic framework for organisational decision-making that, when taken in conjunction with multiple artificial intelligence support, enables complex data processing on a larger scale than has ever been possible. This has had a substantial influence on the decision-making process in organisations. Decision-making methods have been switching away from traditional methods and toward data-driven methods. The integration of machine learning-driven insights is set to enhance decision-making processes to the point where human intervention will become outmoded. In order to achieve the organisational efficiency, we created an AI-driven decision-making model to assist organisations in integrating workers into decision-making processes and making inclusive decisions.