Large enterprises use AI to enhance decision-making and streamline operations.
They deploy AI to synthesise information across systems, flag risks, and surface insights that would otherwise take teams days to uncover. In decision-making, AI helps leaders test scenarios, compare trade-offs, and identify patterns, allowing people to focus on judgment rather than data gathering. For example, McKinsey reports that half of surveyed organisations now use AI in three or more functions, indicating that the technology is being integrated across finance, customer operations, and supply chains.
In decision-making, AI helps leaders test scenarios, compare trade-offs, and identify patterns, allowing people to focus on judgment rather than data gathering. McKinsey estimates that generative AI could automate 60 to 70% of the time employees currently spend on routine analytical and administrative tasks, allowing teams to redirect attention toward higher-value decisions.
AI also functions as a coordination layer. It routes tasks, monitors workflows, tracks handovers, and flags delays without requiring constant manual follow-ups. In this role, AI acts as connective tissue between teams, systems, and timelines, reducing friction and improving organisational alignment.
Crucially, these organisations embed AI into standard operating procedures (SOPs). Intelligence can be built into procurement reviews, finance checks, customer operations, and compliance processes. This ensures decisions are consistent, auditable, and scalable.
SMEs should not simply copy MNCs, but instead move beyond sporadic individual use. The true value of AI lies in embedding it into daily workflows and SOPs, transforming it from a personal productivity tool into an organisational capability that enhances how the business thinks and coordinates.