AI vs. Automation: What's the Difference and When to Use Each?

"Often used interchangeably, AI and automation are two distinct forces reshaping industries. Although they share some overlap, their functions differ significantly. Automation is built to perform repetitive tasks based on predefined rules, reducing human effort in routine workflows. In contrast, artificial intelligence focuses on complex tasks that require decision-making and the ability to mimic human intelligence. AI supports users by analyzing complex data and offering insights that drive smarter business processes."

"You're managing a growing team, and every week you're stuck manually assigning tasks, checking who's overloaded, reminding people about deadlines, and emailing status updates to stakeholders. It's time-consuming and prone to human error. This is where automation steps in. With automation tools taking care of repetitive tasks, you can streamline business processes like task assignment, scheduling, and reporting without constant human intervention."

"Common use cases for automation According to Gartner, 80% of executives believe automation can apply to any business decision. From business operations to customer-facing workflows, here are some ways you can use automation tools to reduce effort and save time: 👋🏾 So what's it like to put your work on autopilot with some really smart automations? Here's an example. What Is Artificial Intelligence (AI)?"

Automation executes repetitive, rule-based tasks to streamline workflows such as task assignment, scheduling, and reporting, reducing human effort and error. Automation relies on predefined rules to manage routine processes and free teams to focus on judgment-driven work. According to Gartner, 80% of executives believe automation can apply to any business decision, and automation spans operations through customer-facing workflows. Artificial intelligence handles complex tasks requiring decision-making, analyzes complex data, and offers insights that improve product planning and predict potential delays. Combining AI and automation enables more efficient, intelligent workflows that both automate routine actions and support better decisions.

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